Embedded newform data - 1860.1.df.c.1199.1

Formats: - HTML - YAML - JSON - 2025-11-10T00:49:30.889005

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1860, 'analytic_conductor': 0.9282609234973844, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 1860, 'char_degree': 8, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 30, 'char_parity': -1, 'char_values': [1860, 30, [931, 1241, 1117, 1801], [15, 15, 15, 13]], 'cm_discs': [-15], 'conrey_index': 179, 'dim': 8, 'field_disc': 1265625, 'field_disc_factorization': [[3, 4], [5, 6]], 'field_poly': [1, -1, 0, 1, -1, 1, 0, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 15, 'has_non_self_twist': 1, 'hecke_cutters': [[17, [81, 81, 54, 27, 9, 9, 6, 3, 1]], [19, [1, -1, -1, 8, 9, 6, 6, 2, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9012902988089156, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, -15], [1, 1, 124, 16, 1, 30, 0], [1, 1, 1860, 84, -1, 30, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1860.1.df.c', 'level': 1860, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'minimal_twist': '1860.1.df.a', 'nf_label': '8.0.1265625.1', 'prim_orbit_index': 84, 'projective_field': [-11113956788751, 0, 4923274482063, 0, -1244334806167, 0, -527344407272, 0, -275803726152, 0, -150092678021, 0, -58062940015, 0, -13239880830, 0, -1816854045, 0, -152696235, 0, -6919479, 0, 16027, 0, 25172, 0, 1767, 0, 62, 0, 1], 'projective_image': 'D30', 'projective_image_type': 'Dn', 'qexp_display': 'q+\\zeta_{30}^{4}q^{2}-\\zeta_{30}^{14}q^{3}+\\zeta_{30}^{8}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'self_twist_discs': [-15], 'self_twist_type': 1, 'space_label': '1860.1.df', 'trace_display': [1, -1, 4, 0], 'trace_hash': 848938980361418280, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.012', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7.663', 'prec': 17}, {'__RealLiteral__': 0, 'data': '-0.070', 'prec': 20}, {'__RealLiteral__': 0, 'data': '426.660', 'prec': 24}, {'__RealLiteral__': 0, 'data': '-148.436', 'prec': 27}, {'__RealLiteral__': 0, 'data': '36618.169', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.602', 'prec': 17}, 'traces': [8, 1, -1, 1, 4, 2, 0, -2, 1, -1, 0, -1, 0, 0, -2, 1, -3, 1, -2, 2, 0, 0, 6, -1, -4, 0, 2, 0, 0, 1, -2, -4, 0, 0, 0, -2, 0, 0, 0, -1, 0, 0, 0, 0, -1, -3, 0, -8, -1, -2, -3, 0, 0, -1, 0, 0, 3, 0, 0, 1, 0, -4, 0, -2, 0, 0, 0, 3, 3, 0, 0, -4, 0, 0, -1, 2, 0, 0, 1, -1, 1, 0, -1, 0, 0, 0, 0, 0, 0, 2, 0, 2, 4, -2, 5, -1, 0, -1, 0, 1, 0, 3, 0, 0, 0, 0, -5, 4, -6, 0, 0, 0, 1, 7, 3, 0, 0, 0, 0, -2, 1, -7, 0, 1, -8, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 12, 3, 4, 2, 0, -7, 0, 0, 1, 0, 0, -2, 0, 0, -1, 4, 3, 0, 0, -1, 0, 0, -2, 0, -8, 0, 8, 0, 0, 0, -1, 1, 0, -1, -3, 5, 0, -2, 0, 0, 0, 0, 0, 0, -1, 0, 0, -2, -4, 0, 2, 0, 2, 0, 3, 0, -1, 0, 0, 0, 2, 7, 0, 1, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 10, 0, -10, 0, 2, 0, -2, 0, 0, 0, 0, 0, 0, -2, 1, 3, 0, 5, 3, 0, 0, -3, 0, -3, 0, -1, 0, 0, -4, -3, -2, 4, -3, 1, 0, 0, -2, -2, -1, 0, 0, 0, 0, -3, 1, -1, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 1, 2, 0, 0, 2, 0, -2, 0, -6, 1, 0, 0, -5, 0, 0, 3, 0, 0, -2, -2, 0, 0, 0, -1, 1, 0, 0, 0, 0, 0, 2, 0, 3, 0, 0, -3, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, -9, -6, 5, 0, -1, -5, 0, -12, 1, 0, 0, 2, 0, 0, 0, 6, 2, 0, -2, 0, 0, 0, 2, 2, 3, 0, -3, 0, 0, 6, 3, 1, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 4, -7, 0, -1, 0, 0, 0, 0, 2, 0, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 7, 0, 0, -1, 2, 0, 0, 0, 0, 0, 0, -6, -1, 0, 3, 2, 0, 0, 1, 0, -2, 0, 0, 0, 0, 2, 0, 0, -3, 3, 0, -5, 0, 0, 2, 1, 0, -9, 0, 0, 0, 1, 0, -7, 0, 3, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, -2, 1, 0, 0, 0, -1, 0, 3, 0, 0, 0, 0, 0, 0, 1, 0, 8, -3, 12, 0, 3, 0, 0, -12, 4, 0, 0, 0, 0, 8, -1, -10, 0, 0, -7, 0, 0, 0, -6, 7, 0, -5, 0, 0, 1, 0, 5, 0, 1, 0, -1, 0, 0, 0, -2, 0, 0, 0, 0, 0, 1, 0, 1, -3, -1, -1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, -2, -3, -1, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 1, -3, 0, 4, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 8, 6, -1, 0, 3, -3, 0, 0, -5, 3, 0, 0, -2, 0, 0, 0, -6, 0, 1, 0, 0, 0, 0, 3, -3, -1, 0, 0, 0, 0, 5, -3, 0, 0, 0, -3, 1, 0, 8, 0, 0, 0, 0, 0, 0, 0, 2, 3, 1, 3, 0, 0, 0, 3, 0, 0, 0, 2, 0, 0, -1, 3, 0, 0, -2, 2, 0, 0, 7, 0, -2, 0, -3, 0, 0, 0, 0, 3, 0, -2, 2, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, -6, 1, 0, 2, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 3, -2, 1, 0, 0, 0, 0, 2, -4, 0, 0, 0, 0, 0, 0, -1, 1, 0, -6, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, -1, -1, 0, 4, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 2, 7, -6, 0, -2, 1, 0, 0, -9, 1, 0, 0, 0, 0, 0, -5, 0, 0, 0, -5, 0, 3, 0, -4, 0, 0, 0, 0, 0, 0, 2, 0, -2, 7, 10, 0, -1, 0, 0, -2, 0, 0, -3, 0, 0, -1, -3, 0, 0, -4, 0, 0, 0, 4, -1, 0, 0, -1, 0, 0, -2, -7, 3, 0, 0, 2, 0, 0, 10, 0, 0, 0, 0, 0, 0, -3, 9, 0, -1, 1, 0, -2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, -1, -1, 0, 0, 0, 0, 0, -2, 7, 0, 12, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 1, 0, 0, 3, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, -6, -4, 0, -2, 0, 0, 0, 3, 2, 0, 2, 0, 0, 0, 2, 1, 0, -5, -2, -3, 0, 5, 0, -3, 0, 0, 0, 0, -2, 0, 3, 0, -1, 0, 0, 0, -4, -1, 2, 0, 16, 0, 0, 0, 0, -6, 0, -5, 0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, -4, 0, 0, 0, 0, 0, 2, 0, 0, 5, -5, 0, 0, -3, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -1, 0, 0, 0, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, -6, 2, 0, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0, -2, -2, 0, 0, 3, 0, 0, 0, 1, 6, 0, 0, 2, 0, 0, 0, -2, 3, 0, 0, 1, -2, 0, 1, 0, 2, 0, 0, 0, 0, 0, 2, 1, 2, 0, -1, -9, 0, -4, 0, 2, 0, -1, 0, 0, 0, -10, 0, 0, -2, 0, 0, 0, -7, 1, 0, 0, -4, 0, 0, -12, 0, 0, 0, -4, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, -2, 0, -3, -3, -5, 0, -1, 0, 0, 0, 0, 0, -6, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, -2, 3, 5, 0, 0, 0, 0, 0, 0, 0, 0, -10, -5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, -4, 9, 0, 5, 0, -3, -2, 2, 0, 0, 0, 0, 0, 3, 0, -3, 0, 0, 0, 0, -3, -6, 0, 0, 0, 0, 0, 0, 0, 2, 0, -7, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, -1, 2, 3, 3, 0, 2, 0, 0, 0, 0, 3, 0, 5, 0, 0, -3, 0, 2, 0, 0, 10, 0, 0, 0, 3, 6, 0, 1, 0, 0, 0, 4, 0, 0, 3, 0, 0, 0, 10, 0, -9, 0, 0, 0, 0, 0, -9, -6, -6, 1, -3, 8, 0, -5, 0, 0, 0, 3, 0, 0, 1, 1, 3, 0, 0, 0, 0, 0, -5, -1, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -6, 0, -1, 0, 0, 0, 0, -4, 3, -6, 0, 5, 0, 0, 0, -3, 0, 2, 0, 3, 0, 0, 0, 9, 0, 7, 4, 0, 0, 0, 1, 0, -1, 0, -2, 0, 0, -1, 0, 0, 0, -1, 1, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 2, 3, 0, 5, 0, -1, 0, 0, 0, 10, 0, 0, 0, 0, -3, 0, 0, 2, 0, 0, -1, 0, 1, 0, 0, 0, 0, 0, 3, -6, 0, 6, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 12, -3, 0, 0, -4, 0, 0, 0, -6, 0, 0, 0, 0, 0, -2, -1, 1, 3, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 2, 0, 4, 0, 0, 1, -1, 0, 0, -2, -3, 0, -3, 0, 0, 0, 2, 9, -5, 4, -5, 0, 0, 3, 5, 0, 0, 3, 0, 0, 2, 5, -7, 0, -2, 0, 0, 0, -9, 0, -9, 0, 0, 0, 0, -1, 1, 0, -2, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, -7, 0, -3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 1, 0, 0, 0, -3, 0, 0, -3, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, -6, 2, 3, 0, 5, 0, 0, 0, 2, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -7, -2, 0, 0, 0, 0, -1, 0, 6, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 3, -2, 2, 2, 0, 0, 0, 1, -3, 0, 0, -2, 0, 0, 1, -3, 0, -2, -3, 0, 0, 0, 0, -5, -3, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 0, 0, 0, -3, 0, 0, 0, 0, -12, -1, 2, 0, 0, 0, 4, 0, 3, -3, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 5, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -3, 5, 2, -3, -6, -3, 0, -5, 0, 3, 0, 2, 0, 0, -5, 0, 1, 0, -7, 0, 0, 0, 6, 0, 1, 0, 0, 0, 0, 5, 0, -2, 0, -2, 0, 0, 0, 8, 0, -3, 0, 0, 0, 0, -1, -1, 5, -6, 0, 0, 3, 0, 0, -5, 0, 0, 0, 0, 0, 4, 2, -1, 0, 0, 0, 0, 0, 5, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 9, -3, 0, 3, 0, 1, 0, 0, 0, 0, 0, -3, -1, 1, 3, -1, -2, 0, 0, -1, 0, 0, 0, 0, 0, 0, 1, -1, 0, -2, 0, 0, 0, 5, -5, 1, 0, 0, 0, 0, 1, 0, -5, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 4, -2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 3, 1, 0, 2, 0, 6, 0, 0, -2, 2, 2, 0, 0, 0, 0, 0, 1, 0, 0, -2, -6, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, -10, 0, -9, -4, 0, -1, 0, 0, 4, 0, 0, -7, 0, 0, 0, 0, -5, 3, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 4, -3, 0, -2, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 8, -7, 0, 3, 0, -8, 0, 0, 1, 0, 0, 0, -3, 0, 0, 1, 3, -8, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, -3, 0, -7, 0, -2, 0, 0, 0, 0, 0, 0, -3, 0, 1, 0, 2, 0, 6, 0, 0, 0, -1, 0, 0, 1, 2, -2, 2, -3, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 2, 0, 7, 0, 5, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5, 0, -2, -3, 0, -6, 0, 0, 10, 5, 0, 1, 0, 0, 0, 3, 0, 5, 8, 0, 0, 0, -5, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 8, 0, -3, 0, 0, 9, 0, 0, -1, 0, 0, 0, 0, 0, 0, -2, -3, 0, 1, 0, 0, 0, 0, -4, 1, 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, -6, 0, 1, 0, 0, 0, 0, 0, 0, -1, -2, 8, 0, 9, 0, 0, 0, 2, 0, 3, 0, 0, 0, 2, -2, 0, -4, -1], 'weight': 1, 'weight_parity': -1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.9135454576426009, 0.4067366430758002], [0.10452846326765347, 0.9945218953682733], [0.6691306063588582, 0.7431448254773942], [0.5, 0.8660254037844386], [-0.30901699437494745, 0.9510565162951535], [0.0, 0.0], [0.30901699437494745, 0.9510565162951535], [-0.9781476007338057, 0.20791169081775934], [0.10452846326765347, 0.9945218953682733], [0.0, 0.0], [-0.6691306063588582, 0.7431448254773942], [0.0, 0.0], [0.0, 0.0], [-0.8090169943749475, 0.5877852522924731], [-0.10452846326765347, 0.9945218953682733], [1.2871645951087531, -1.1589682071129128], [-0.9781476007338057, -0.20791169081775934], [-0.8090169943749475, -1.8170819200795922], [-0.30901699437494745, 0.9510565162951535], [0.0, 0.0], [0.0, 0.0], [0.19098300562505258, -0.5877852522924731], [-0.9135454576426009, 0.4067366430758002], [-0.5, 0.8660254037844386], [0.0, 0.0], [-0.30901699437494745, -0.9510565162951535], [0.0, 0.0], [0.0, 0.0], [-0.9781476007338057, 0.20791169081775934], [-0.8090169943749475, 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-0.16666666666666666, -0.03333333333333333, -0.18333333333333332, -0.1, 0.13333333333333333, -0.45, -0.06666666666666667, -0.2, -0.25, -0.4666666666666667, -0.38333333333333336, -0.4, -0.13333333333333333, -0.16666666666666666, -0.48333333333333334, -0.36666666666666664, -0.3, -0.13333333333333333, -0.3333333333333333, -0.3333333333333333, -0.4666666666666667, -0.3, -0.4, -0.45, -0.23333333333333334, -0.03333333333333333, -0.08333333333333333, -0.2, -0.4666666666666667, -0.2833333333333333, -0.2, -0.15, -0.16666666666666666, -0.2, -0.36666666666666664, 0.23333333333333334, -0.21666666666666667, 0.0, -0.21666666666666667, 0.26666666666666666, -0.05, -0.4166666666666667, 0.0, -0.43333333333333335, -0.016666666666666666, 0.13333333333333333, -0.03333333333333333, -0.2, -0.3, 0.1, -0.2, -0.13333333333333333, -0.06666666666666667, -0.26666666666666666, -0.2, -0.31666666666666665, -0.43333333333333335, -0.36666666666666664, -0.4, -0.43333333333333335, -0.06666666666666667, -0.08333333333333333, -0.25, -0.25, -0.16666666666666666, -0.36666666666666664, -0.36666666666666664, -0.4166666666666667, -0.26666666666666666, 0.0, -0.23333333333333334, -0.16666666666666666, -0.13333333333333333, -0.36666666666666664, -0.016666666666666666, -0.36666666666666664, -0.23333333333333334, -0.2, -0.43333333333333335, -0.23333333333333334, -0.4166666666666667, -0.05, -0.26666666666666666, -0.26666666666666666, -0.21666666666666667, -0.3333333333333333, -0.03333333333333333, -0.06666666666666667, -0.1, -0.13333333333333333, -0.2, -0.06666666666666667, -0.4, -0.4666666666666667, -0.3, -0.16666666666666666, -0.2833333333333333, -0.36666666666666664, -0.23333333333333334, -0.13333333333333333, -0.3333333333333333, -0.1, -0.13333333333333333, -0.43333333333333335, 0.03333333333333333, -0.16666666666666666, -0.21666666666666667, -0.26666666666666666, -0.1, 0.26666666666666666, -0.36666666666666664, -0.38333333333333336, -0.13333333333333333, -0.1, -0.06666666666666667, -0.23333333333333334, -0.23333333333333334, -0.3, -0.1, -0.18333333333333332, 0.03333333333333333, -0.36666666666666664, -0.13333333333333333, -0.11666666666666667, 0.2, -0.23333333333333334, -0.35, -0.2, 0.1, 0.4666666666666667, -0.43333333333333335, -0.13333333333333333, 0.26666666666666666, -0.4, -0.4666666666666667, -0.21666666666666667, -0.13333333333333333, -0.18333333333333332, -0.23333333333333334, -0.4666666666666667, -0.15, -0.23333333333333334, -0.06666666666666667, -0.3333333333333333, -0.2833333333333333, -0.38333333333333336, -0.05, -0.23333333333333334, 0.3333333333333333, -0.3333333333333333, -0.26666666666666666, -0.03333333333333333, 0.3, -0.4], 'char_orbit_index': 84, 'conrey_index': 1199, 'dual_conrey_index': 1739, 'dual_embedding_index': 1, 'dual_embedding_m': 8, 'embedding_index': 1, 'embedding_m': 4, 'embedding_root_imag': 0.9945218953682733, 'embedding_root_real': -0.10452846326765347, 'hecke_orbit': 3, 'hecke_orbit_code': 9012902988089156, 'label': '1860.1.df.c.1199.1', 'level': 1860, 'weight': 1}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1860, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.9282609234973844, 'char_conductor': 1860, 'char_degree': 8, 'char_is_real': False, 'char_orbit_index': 84, 'char_orbit_label': 'df', 'char_order': 30, 'char_parity': -1, 'char_values': [1860, 30, [931, 1241, 1117, 1801], [15, 15, 15, 13]], 'conrey_index': 179, 'cusp_dim': 32, 'dihedral_dim': 32, 'dim': 32, 'eis_dim': 64, 'eis_new_dim': 64, 'hecke_orbit_code': 5703733348164, 'hecke_orbit_dims': [8, 8, 8, 8], 'label': '1860.1.df', 'level': 1860, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5, 31], 'level_radical': 930, 'mf_dim': 96, 'mf_new_dim': 96, 'num_forms': 4, 'prim_orbit_index': 84, 'relative_dim': 4, 's4_dim': 0, 'sturm_bound': 384, 'trace_bound': 3, 'trace_display': [0, 0, 0, 0], 'traces': [32, 0, 0, 4, 0, 6, 0, 0, 4, 2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, -2, 0, 0, 0, -4, 0, 0, 0, 0, 0, -10, 0, 0, -4, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 10, 0, 0, 0, -8, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -8, 0, -6, 0, 0, 0, -2, 0, 0, 0, 0, 0, 20, 0, 0, -24, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, -28, 0, 0, 18, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, -6, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 2, 0, 0, 0, -8, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 18, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, -12, 0, 0, -10, 0, 0, 0, 0, -8, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, -30, 0, 0, 0, 4, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, -20, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, -28, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 2, 0, 0, 0, 12, 0, 0, 0, 0, 32, -4, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18, 0, -6, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 24, 0, 0, 6, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, -6, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, -4, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 12, 12, 0, 0, 0, 0, 8, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6, 0, 0, -20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 0, -6, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 14, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, -4, 10, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 8, 0, 0, -10, 0, -6, 0, 0, 0, -6, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 4, 0, -14, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, -8, 0, 0, 6, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, -8, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 8], 'weight': 1, 'weight_parity': -1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 42537925
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 42537926
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 1}
  • id: 42537927
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 42537928
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 1}
  • id: 42537929
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 1}
  • id: 42537930
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 1}
  • id: 42537931
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 1}
  • id: 42537932
    {'conductor': 31, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '31.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 42537933
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1199, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1199.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 1}
  • id: 42537934
    {'conductor': 93, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '93.65', 'twisting_conrey_index': 65, 'weight': 1}
  • id: 42537935
    {'conductor': 124, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '124.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 42537936
    {'conductor': 155, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '155.34', 'twisting_conrey_index': 34, 'weight': 1}
  • id: 42537937
    {'conductor': 372, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '372.251', 'twisting_conrey_index': 251, 'weight': 1}
  • id: 42537938
    {'conductor': 465, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '465.344', 'twisting_conrey_index': 344, 'weight': 1}
  • id: 42537939
    {'conductor': 620, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '620.499', 'twisting_conrey_index': 499, 'weight': 1}
  • id: 42537940
    {'conductor': 1860, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1199, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9012902988089156, 'source_is_minimal': True, 'source_label': '1860.1.df.c.1199.1', 'source_level': 1860, 'target_conrey_index': 1739, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1739.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1199.1', 'twist_class_level': 1860, 'twisting_char_label': '1860.1739', 'twisting_conrey_index': 1739, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2260475
    {'charpoly_factorization': [[[1, -1, 0, 1, -1, 1, 0, -1, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 2}
  • id: 2260476
    {'charpoly_factorization': [[[1, 1, 0, -1, -1, -1, 0, 1, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 3}
  • id: 2260477
    {'charpoly_factorization': [[[1, -1, 1], 4]], 'hecke_orbit_code': 9012902988089156, 'p': 5}
  • id: 2260478
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 7}
  • id: 2260479
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 11}
  • id: 2260480
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 13}
  • id: 2260481
    {'charpoly_factorization': [[[81, 81, 54, 27, 9, 9, 6, 3, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 17}
  • id: 2260482
    {'charpoly_factorization': [[[1, -1, -1, 8, 9, 6, 6, 2, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 19}
  • id: 2260483
    {'charpoly_factorization': [[[1, -2, 4, -3, 1], 2]], 'hecke_orbit_code': 9012902988089156, 'p': 23}
  • id: 2260484
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 29}
  • id: 2260485
    {'charpoly_factorization': [[[1, 1, 1, 1, 1], 2]], 'hecke_orbit_code': 9012902988089156, 'p': 31}
  • id: 2260486
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 37}
  • id: 2260487
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 41}
  • id: 2260488
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 43}
  • id: 2260489
    {'charpoly_factorization': [[[1, -5, 13, -15, 4, 5, -3, 0, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 47}
  • id: 2260490
    {'charpoly_factorization': [[[25, 25, 25, 0, -5, -10, 0, 0, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 53}
  • id: 2260491
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 59}
  • id: 2260492
    {'charpoly_factorization': [[[1, 0, 8, 0, 14, 0, 7, 0, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 61}
  • id: 2260493
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 67}
  • id: 2260494
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 71}
  • id: 2260495
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 73}
  • id: 2260496
    {'charpoly_factorization': [[[1, -6, 20, 11, -6, -4, 0, -1, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 79}
  • id: 2260497
    {'charpoly_factorization': [[[1, -9, 20, 4, 9, 4, 0, 1, 1], 1]], 'hecke_orbit_code': 9012902988089156, 'p': 83}
  • id: 2260498
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 89}
  • id: 2260499
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 9012902988089156, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 84, 'hecke_orbit': 3, 'label': '1860.1.df.c', 'level': 1860, 'portrait': 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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 32376397
    {'hecke_orbit_code': 9012902988089156, 'n': 1, 'trace_an': 8}
  • id: 32376398
    {'hecke_orbit_code': 9012902988089156, 'n': 2, 'trace_an': 1}
  • id: 32376399
    {'hecke_orbit_code': 9012902988089156, 'n': 3, 'trace_an': -1}
  • id: 32376400
    {'hecke_orbit_code': 9012902988089156, 'n': 4, 'trace_an': 1}
  • id: 32376401
    {'hecke_orbit_code': 9012902988089156, 'n': 5, 'trace_an': 4}
  • id: 32376402
    {'hecke_orbit_code': 9012902988089156, 'n': 6, 'trace_an': 2}
  • id: 32376403
    {'hecke_orbit_code': 9012902988089156, 'n': 7, 'trace_an': 0}
  • id: 32376404
    {'hecke_orbit_code': 9012902988089156, 'n': 8, 'trace_an': -2}
  • id: 32376405
    {'hecke_orbit_code': 9012902988089156, 'n': 9, 'trace_an': 1}
  • id: 32376406
    {'hecke_orbit_code': 9012902988089156, 'n': 10, 'trace_an': -1}
  • id: 32376407
    {'hecke_orbit_code': 9012902988089156, 'n': 11, 'trace_an': 0}
  • id: 32376408
    {'hecke_orbit_code': 9012902988089156, 'n': 12, 'trace_an': -1}
  • id: 32376409
    {'hecke_orbit_code': 9012902988089156, 'n': 13, 'trace_an': 0}
  • id: 32376410
    {'hecke_orbit_code': 9012902988089156, 'n': 14, 'trace_an': 0}
  • id: 32376411
    {'hecke_orbit_code': 9012902988089156, 'n': 15, 'trace_an': -2}
  • id: 32376412
    {'hecke_orbit_code': 9012902988089156, 'n': 16, 'trace_an': 1}
  • id: 32376413
    {'hecke_orbit_code': 9012902988089156, 'n': 17, 'trace_an': -3}
  • id: 32376414
    {'hecke_orbit_code': 9012902988089156, 'n': 18, 'trace_an': 1}
  • id: 32376415
    {'hecke_orbit_code': 9012902988089156, 'n': 19, 'trace_an': -2}
  • id: 32376416
    {'hecke_orbit_code': 9012902988089156, 'n': 20, 'trace_an': 2}
  • id: 32376417
    {'hecke_orbit_code': 9012902988089156, 'n': 21, 'trace_an': 0}
  • id: 32376418
    {'hecke_orbit_code': 9012902988089156, 'n': 22, 'trace_an': 0}
  • id: 32376419
    {'hecke_orbit_code': 9012902988089156, 'n': 23, 'trace_an': 6}
  • id: 32376420
    {'hecke_orbit_code': 9012902988089156, 'n': 24, 'trace_an': -1}
  • id: 32376421
    {'hecke_orbit_code': 9012902988089156, 'n': 25, 'trace_an': -4}
  • id: 32376422
    {'hecke_orbit_code': 9012902988089156, 'n': 26, 'trace_an': 0}
  • id: 32376423
    {'hecke_orbit_code': 9012902988089156, 'n': 27, 'trace_an': 2}
  • id: 32376424
    {'hecke_orbit_code': 9012902988089156, 'n': 28, 'trace_an': 0}
  • id: 32376425
    {'hecke_orbit_code': 9012902988089156, 'n': 29, 'trace_an': 0}
  • id: 32376426
    {'hecke_orbit_code': 9012902988089156, 'n': 30, 'trace_an': 1}
  • id: 32376427
    {'hecke_orbit_code': 9012902988089156, 'n': 31, 'trace_an': -2}
  • id: 32376428
    {'hecke_orbit_code': 9012902988089156, 'n': 32, 'trace_an': -4}
  • id: 32376429
    {'hecke_orbit_code': 9012902988089156, 'n': 33, 'trace_an': 0}
  • id: 32376430
    {'hecke_orbit_code': 9012902988089156, 'n': 34, 'trace_an': 0}
  • id: 32376431
    {'hecke_orbit_code': 9012902988089156, 'n': 35, 'trace_an': 0}
  • id: 32376432
    {'hecke_orbit_code': 9012902988089156, 'n': 36, 'trace_an': -2}
  • id: 32376433
    {'hecke_orbit_code': 9012902988089156, 'n': 37, 'trace_an': 0}
  • id: 32376434
    {'hecke_orbit_code': 9012902988089156, 'n': 38, 'trace_an': 0}
  • id: 32376435
    {'hecke_orbit_code': 9012902988089156, 'n': 39, 'trace_an': 0}
  • id: 32376436
    {'hecke_orbit_code': 9012902988089156, 'n': 40, 'trace_an': -1}
  • id: 32376437
    {'hecke_orbit_code': 9012902988089156, 'n': 41, 'trace_an': 0}
  • id: 32376438
    {'hecke_orbit_code': 9012902988089156, 'n': 42, 'trace_an': 0}
  • id: 32376439
    {'hecke_orbit_code': 9012902988089156, 'n': 43, 'trace_an': 0}
  • id: 32376440
    {'hecke_orbit_code': 9012902988089156, 'n': 44, 'trace_an': 0}
  • id: 32376441
    {'hecke_orbit_code': 9012902988089156, 'n': 45, 'trace_an': -1}
  • id: 32376442
    {'hecke_orbit_code': 9012902988089156, 'n': 46, 'trace_an': -3}
  • id: 32376443
    {'hecke_orbit_code': 9012902988089156, 'n': 47, 'trace_an': 0}
  • id: 32376444
    {'hecke_orbit_code': 9012902988089156, 'n': 48, 'trace_an': -8}
  • id: 32376445
    {'hecke_orbit_code': 9012902988089156, 'n': 49, 'trace_an': -1}
  • id: 32376446
    {'hecke_orbit_code': 9012902988089156, 'n': 50, 'trace_an': -2}
  • id: 32376447
    {'hecke_orbit_code': 9012902988089156, 'n': 51, 'trace_an': -3}
  • id: 32376448
    {'hecke_orbit_code': 9012902988089156, 'n': 52, 'trace_an': 0}
  • id: 32376449
    {'hecke_orbit_code': 9012902988089156, 'n': 53, 'trace_an': 0}
  • id: 32376450
    {'hecke_orbit_code': 9012902988089156, 'n': 54, 'trace_an': -1}
  • id: 32376451
    {'hecke_orbit_code': 9012902988089156, 'n': 55, 'trace_an': 0}
  • id: 32376452
    {'hecke_orbit_code': 9012902988089156, 'n': 56, 'trace_an': 0}
  • id: 32376453
    {'hecke_orbit_code': 9012902988089156, 'n': 57, 'trace_an': 3}
  • id: 32376454
    {'hecke_orbit_code': 9012902988089156, 'n': 58, 'trace_an': 0}
  • id: 32376455
    {'hecke_orbit_code': 9012902988089156, 'n': 59, 'trace_an': 0}
  • id: 32376456
    {'hecke_orbit_code': 9012902988089156, 'n': 60, 'trace_an': 1}
  • id: 32376457
    {'hecke_orbit_code': 9012902988089156, 'n': 61, 'trace_an': 0}
  • id: 32376458
    {'hecke_orbit_code': 9012902988089156, 'n': 62, 'trace_an': -4}
  • id: 32376459
    {'hecke_orbit_code': 9012902988089156, 'n': 63, 'trace_an': 0}
  • id: 32376460
    {'hecke_orbit_code': 9012902988089156, 'n': 64, 'trace_an': -2}
  • id: 32376461
    {'hecke_orbit_code': 9012902988089156, 'n': 65, 'trace_an': 0}
  • id: 32376462
    {'hecke_orbit_code': 9012902988089156, 'n': 66, 'trace_an': 0}
  • id: 32376463
    {'hecke_orbit_code': 9012902988089156, 'n': 67, 'trace_an': 0}
  • id: 32376464
    {'hecke_orbit_code': 9012902988089156, 'n': 68, 'trace_an': 3}
  • id: 32376465
    {'hecke_orbit_code': 9012902988089156, 'n': 69, 'trace_an': 3}
  • id: 32376466
    {'hecke_orbit_code': 9012902988089156, 'n': 70, 'trace_an': 0}
  • id: 32376467
    {'hecke_orbit_code': 9012902988089156, 'n': 71, 'trace_an': 0}
  • id: 32376468
    {'hecke_orbit_code': 9012902988089156, 'n': 72, 'trace_an': -4}
  • id: 32376469
    {'hecke_orbit_code': 9012902988089156, 'n': 73, 'trace_an': 0}
  • id: 32376470
    {'hecke_orbit_code': 9012902988089156, 'n': 74, 'trace_an': 0}
  • id: 32376471
    {'hecke_orbit_code': 9012902988089156, 'n': 75, 'trace_an': -1}
  • id: 32376472
    {'hecke_orbit_code': 9012902988089156, 'n': 76, 'trace_an': 2}
  • id: 32376473
    {'hecke_orbit_code': 9012902988089156, 'n': 77, 'trace_an': 0}
  • id: 32376474
    {'hecke_orbit_code': 9012902988089156, 'n': 78, 'trace_an': 0}
  • id: 32376475
    {'hecke_orbit_code': 9012902988089156, 'n': 79, 'trace_an': 1}
  • id: 32376476
    {'hecke_orbit_code': 9012902988089156, 'n': 80, 'trace_an': -1}
  • id: 32376477
    {'hecke_orbit_code': 9012902988089156, 'n': 81, 'trace_an': 1}
  • id: 32376478
    {'hecke_orbit_code': 9012902988089156, 'n': 82, 'trace_an': 0}
  • id: 32376479
    {'hecke_orbit_code': 9012902988089156, 'n': 83, 'trace_an': -1}
  • id: 32376480
    {'hecke_orbit_code': 9012902988089156, 'n': 84, 'trace_an': 0}
  • id: 32376481
    {'hecke_orbit_code': 9012902988089156, 'n': 85, 'trace_an': 0}
  • id: 32376482
    {'hecke_orbit_code': 9012902988089156, 'n': 86, 'trace_an': 0}
  • id: 32376483
    {'hecke_orbit_code': 9012902988089156, 'n': 87, 'trace_an': 0}
  • id: 32376484
    {'hecke_orbit_code': 9012902988089156, 'n': 88, 'trace_an': 0}
  • id: 32376485
    {'hecke_orbit_code': 9012902988089156, 'n': 89, 'trace_an': 0}
  • id: 32376486
    {'hecke_orbit_code': 9012902988089156, 'n': 90, 'trace_an': 2}
  • id: 32376487
    {'hecke_orbit_code': 9012902988089156, 'n': 91, 'trace_an': 0}
  • id: 32376488
    {'hecke_orbit_code': 9012902988089156, 'n': 92, 'trace_an': 2}
  • id: 32376489
    {'hecke_orbit_code': 9012902988089156, 'n': 93, 'trace_an': 4}
  • id: 32376490
    {'hecke_orbit_code': 9012902988089156, 'n': 94, 'trace_an': -2}
  • id: 32376491
    {'hecke_orbit_code': 9012902988089156, 'n': 95, 'trace_an': 5}
  • id: 32376492
    {'hecke_orbit_code': 9012902988089156, 'n': 96, 'trace_an': -1}
  • id: 32376493
    {'hecke_orbit_code': 9012902988089156, 'n': 97, 'trace_an': 0}
  • id: 32376494
    {'hecke_orbit_code': 9012902988089156, 'n': 98, 'trace_an': -1}
  • id: 32376495
    {'hecke_orbit_code': 9012902988089156, 'n': 99, 'trace_an': 0}
  • id: 32376496
    {'hecke_orbit_code': 9012902988089156, 'n': 100, 'trace_an': 1}
  • id: 32376497
    {'hecke_orbit_code': 9012902988089156, 'n': 101, 'trace_an': 0}
  • id: 32376498
    {'hecke_orbit_code': 9012902988089156, 'n': 103, 'trace_an': 0}
  • id: 32376499
    {'hecke_orbit_code': 9012902988089156, 'n': 107, 'trace_an': -5}
  • id: 32376500
    {'hecke_orbit_code': 9012902988089156, 'n': 109, 'trace_an': -6}
  • id: 32376501
    {'hecke_orbit_code': 9012902988089156, 'n': 113, 'trace_an': 1}
  • id: 32376502
    {'hecke_orbit_code': 9012902988089156, 'n': 121, 'trace_an': 1}
  • id: 32376503
    {'hecke_orbit_code': 9012902988089156, 'n': 125, 'trace_an': -8}
  • id: 32376504
    {'hecke_orbit_code': 9012902988089156, 'n': 127, 'trace_an': 0}
  • id: 32376505
    {'hecke_orbit_code': 9012902988089156, 'n': 128, 'trace_an': 1}
  • id: 32376506
    {'hecke_orbit_code': 9012902988089156, 'n': 131, 'trace_an': 0}
  • id: 32376507
    {'hecke_orbit_code': 9012902988089156, 'n': 137, 'trace_an': 3}
  • id: 32376508
    {'hecke_orbit_code': 9012902988089156, 'n': 139, 'trace_an': 2}
  • id: 32376509
    {'hecke_orbit_code': 9012902988089156, 'n': 149, 'trace_an': 0}
  • id: 32376510
    {'hecke_orbit_code': 9012902988089156, 'n': 151, 'trace_an': 4}
  • id: 32376511
    {'hecke_orbit_code': 9012902988089156, 'n': 157, 'trace_an': 0}
  • id: 32376512
    {'hecke_orbit_code': 9012902988089156, 'n': 163, 'trace_an': 0}
  • id: 32376513
    {'hecke_orbit_code': 9012902988089156, 'n': 167, 'trace_an': 1}
  • id: 32376514
    {'hecke_orbit_code': 9012902988089156, 'n': 169, 'trace_an': -1}
  • id: 32376515
    {'hecke_orbit_code': 9012902988089156, 'n': 173, 'trace_an': -2}
  • id: 32376516
    {'hecke_orbit_code': 9012902988089156, 'n': 179, 'trace_an': 0}
  • id: 32376517
    {'hecke_orbit_code': 9012902988089156, 'n': 181, 'trace_an': 0}
  • id: 32376518
    {'hecke_orbit_code': 9012902988089156, 'n': 191, 'trace_an': 0}
  • id: 32376519
    {'hecke_orbit_code': 9012902988089156, 'n': 193, 'trace_an': 0}
  • id: 32376520
    {'hecke_orbit_code': 9012902988089156, 'n': 197, 'trace_an': 7}
  • id: 32376521
    {'hecke_orbit_code': 9012902988089156, 'n': 199, 'trace_an': 1}
  • id: 32376522
    {'hecke_orbit_code': 9012902988089156, 'n': 211, 'trace_an': 0}
  • id: 32376523
    {'hecke_orbit_code': 9012902988089156, 'n': 223, 'trace_an': 0}
  • id: 32376524
    {'hecke_orbit_code': 9012902988089156, 'n': 227, 'trace_an': 3}
  • id: 32376525
    {'hecke_orbit_code': 9012902988089156, 'n': 229, 'trace_an': 5}
  • id: 32376526
    {'hecke_orbit_code': 9012902988089156, 'n': 233, 'trace_an': -3}
  • id: 32376527
    {'hecke_orbit_code': 9012902988089156, 'n': 239, 'trace_an': 0}
  • id: 32376528
    {'hecke_orbit_code': 9012902988089156, 'n': 241, 'trace_an': -3}
  • id: 32376529
    {'hecke_orbit_code': 9012902988089156, 'n': 243, 'trace_an': 4}
  • id: 32376530
    {'hecke_orbit_code': 9012902988089156, 'n': 251, 'trace_an': 0}
  • id: 32376531
    {'hecke_orbit_code': 9012902988089156, 'n': 256, 'trace_an': 1}
  • id: 32376532
    {'hecke_orbit_code': 9012902988089156, 'n': 257, 'trace_an': -1}
  • id: 32376533
    {'hecke_orbit_code': 9012902988089156, 'n': 263, 'trace_an': 3}
  • id: 32376534
    {'hecke_orbit_code': 9012902988089156, 'n': 269, 'trace_an': 0}
  • id: 32376535
    {'hecke_orbit_code': 9012902988089156, 'n': 271, 'trace_an': 2}
  • id: 32376536
    {'hecke_orbit_code': 9012902988089156, 'n': 277, 'trace_an': 0}
  • id: 32376537
    {'hecke_orbit_code': 9012902988089156, 'n': 281, 'trace_an': 0}
  • id: 32376538
    {'hecke_orbit_code': 9012902988089156, 'n': 283, 'trace_an': 0}
  • id: 32376539
    {'hecke_orbit_code': 9012902988089156, 'n': 289, 'trace_an': -2}
  • id: 32376540
    {'hecke_orbit_code': 9012902988089156, 'n': 293, 'trace_an': -1}
  • id: 32376541
    {'hecke_orbit_code': 9012902988089156, 'n': 307, 'trace_an': 0}
  • id: 32376542
    {'hecke_orbit_code': 9012902988089156, 'n': 311, 'trace_an': 0}
  • id: 32376543
    {'hecke_orbit_code': 9012902988089156, 'n': 313, 'trace_an': 0}
  • id: 32376544
    {'hecke_orbit_code': 9012902988089156, 'n': 317, 'trace_an': -6}
  • id: 32376545
    {'hecke_orbit_code': 9012902988089156, 'n': 331, 'trace_an': 6}
  • id: 32376546
    {'hecke_orbit_code': 9012902988089156, 'n': 337, 'trace_an': 0}
  • id: 32376547
    {'hecke_orbit_code': 9012902988089156, 'n': 343, 'trace_an': 0}
  • id: 32376548
    {'hecke_orbit_code': 9012902988089156, 'n': 347, 'trace_an': 1}
  • id: 32376549
    {'hecke_orbit_code': 9012902988089156, 'n': 349, 'trace_an': 3}
  • id: 32376550
    {'hecke_orbit_code': 9012902988089156, 'n': 353, 'trace_an': 3}
  • id: 32376551
    {'hecke_orbit_code': 9012902988089156, 'n': 359, 'trace_an': 0}
  • id: 32376552
    {'hecke_orbit_code': 9012902988089156, 'n': 361, 'trace_an': -7}
  • id: 32376553
    {'hecke_orbit_code': 9012902988089156, 'n': 367, 'trace_an': 0}
  • id: 32376554
    {'hecke_orbit_code': 9012902988089156, 'n': 373, 'trace_an': 0}
  • id: 32376555
    {'hecke_orbit_code': 9012902988089156, 'n': 379, 'trace_an': 0}
  • id: 32376556
    {'hecke_orbit_code': 9012902988089156, 'n': 383, 'trace_an': -1}
  • id: 32376557
    {'hecke_orbit_code': 9012902988089156, 'n': 389, 'trace_an': 0}
  • id: 32376558
    {'hecke_orbit_code': 9012902988089156, 'n': 397, 'trace_an': 0}
  • id: 32376559
    {'hecke_orbit_code': 9012902988089156, 'n': 401, 'trace_an': 0}
  • id: 32376560
    {'hecke_orbit_code': 9012902988089156, 'n': 409, 'trace_an': 3}
  • id: 32376561
    {'hecke_orbit_code': 9012902988089156, 'n': 419, 'trace_an': 0}
  • id: 32376562
    {'hecke_orbit_code': 9012902988089156, 'n': 421, 'trace_an': 1}
  • id: 32376563
    {'hecke_orbit_code': 9012902988089156, 'n': 431, 'trace_an': 0}
  • id: 32376564
    {'hecke_orbit_code': 9012902988089156, 'n': 433, 'trace_an': 0}
  • id: 32376565
    {'hecke_orbit_code': 9012902988089156, 'n': 439, 'trace_an': 0}
  • id: 32376566
    {'hecke_orbit_code': 9012902988089156, 'n': 443, 'trace_an': 3}
  • id: 32376567
    {'hecke_orbit_code': 9012902988089156, 'n': 449, 'trace_an': 0}
  • id: 32376568
    {'hecke_orbit_code': 9012902988089156, 'n': 457, 'trace_an': 0}
  • id: 32376569
    {'hecke_orbit_code': 9012902988089156, 'n': 461, 'trace_an': 0}
  • id: 32376570
    {'hecke_orbit_code': 9012902988089156, 'n': 463, 'trace_an': 0}
  • id: 32376571
    {'hecke_orbit_code': 9012902988089156, 'n': 467, 'trace_an': -10}
  • id: 32376572
    {'hecke_orbit_code': 9012902988089156, 'n': 479, 'trace_an': 0}
  • id: 32376573
    {'hecke_orbit_code': 9012902988089156, 'n': 487, 'trace_an': 0}
  • id: 32376574
    {'hecke_orbit_code': 9012902988089156, 'n': 491, 'trace_an': 0}
  • id: 32376575
    {'hecke_orbit_code': 9012902988089156, 'n': 499, 'trace_an': -3}
  • id: 32376576
    {'hecke_orbit_code': 9012902988089156, 'n': 503, 'trace_an': 0}
  • id: 32376577
    {'hecke_orbit_code': 9012902988089156, 'n': 509, 'trace_an': 0}
  • id: 32376578
    {'hecke_orbit_code': 9012902988089156, 'n': 512, 'trace_an': -2}
  • id: 32376579
    {'hecke_orbit_code': 9012902988089156, 'n': 521, 'trace_an': 0}
  • id: 32376580
    {'hecke_orbit_code': 9012902988089156, 'n': 523, 'trace_an': 0}
  • id: 32376581
    {'hecke_orbit_code': 9012902988089156, 'n': 529, 'trace_an': 4}
  • id: 32376582
    {'hecke_orbit_code': 9012902988089156, 'n': 541, 'trace_an': 6}
  • id: 32376583
    {'hecke_orbit_code': 9012902988089156, 'n': 547, 'trace_an': 0}
  • id: 32376584
    {'hecke_orbit_code': 9012902988089156, 'n': 557, 'trace_an': 0}
  • id: 32376585
    {'hecke_orbit_code': 9012902988089156, 'n': 563, 'trace_an': 3}
  • id: 32376586
    {'hecke_orbit_code': 9012902988089156, 'n': 569, 'trace_an': 0}
  • id: 32376587
    {'hecke_orbit_code': 9012902988089156, 'n': 571, 'trace_an': -3}
  • id: 32376588
    {'hecke_orbit_code': 9012902988089156, 'n': 577, 'trace_an': 0}
  • id: 32376589
    {'hecke_orbit_code': 9012902988089156, 'n': 587, 'trace_an': 3}
  • id: 32376590
    {'hecke_orbit_code': 9012902988089156, 'n': 593, 'trace_an': 3}
  • id: 32376591
    {'hecke_orbit_code': 9012902988089156, 'n': 599, 'trace_an': 0}
  • id: 32376592
    {'hecke_orbit_code': 9012902988089156, 'n': 601, 'trace_an': 3}
  • id: 32376593
    {'hecke_orbit_code': 9012902988089156, 'n': 607, 'trace_an': 0}
  • id: 32376594
    {'hecke_orbit_code': 9012902988089156, 'n': 613, 'trace_an': 0}
  • id: 32376595
    {'hecke_orbit_code': 9012902988089156, 'n': 617, 'trace_an': 3}
  • id: 32376596
    {'hecke_orbit_code': 9012902988089156, 'n': 619, 'trace_an': -2}
  • id: 32376597
    {'hecke_orbit_code': 9012902988089156, 'n': 625, 'trace_an': -4}
  • id: 32376598
    {'hecke_orbit_code': 9012902988089156, 'n': 631, 'trace_an': -6}
  • id: 32376599
    {'hecke_orbit_code': 9012902988089156, 'n': 641, 'trace_an': 0}
  • id: 32376600
    {'hecke_orbit_code': 9012902988089156, 'n': 643, 'trace_an': 0}
  • id: 32376601
    {'hecke_orbit_code': 9012902988089156, 'n': 647, 'trace_an': -2}
  • id: 32376602
    {'hecke_orbit_code': 9012902988089156, 'n': 653, 'trace_an': 2}
  • id: 32376603
    {'hecke_orbit_code': 9012902988089156, 'n': 659, 'trace_an': 0}
  • id: 32376604
    {'hecke_orbit_code': 9012902988089156, 'n': 661, 'trace_an': -1}
  • id: 32376605
    {'hecke_orbit_code': 9012902988089156, 'n': 673, 'trace_an': 0}
  • id: 32376606
    {'hecke_orbit_code': 9012902988089156, 'n': 677, 'trace_an': 0}
  • id: 32376607
    {'hecke_orbit_code': 9012902988089156, 'n': 683, 'trace_an': 0}
  • id: 32376608
    {'hecke_orbit_code': 9012902988089156, 'n': 691, 'trace_an': 7}
  • id: 32376609
    {'hecke_orbit_code': 9012902988089156, 'n': 701, 'trace_an': 0}
  • id: 32376610
    {'hecke_orbit_code': 9012902988089156, 'n': 709, 'trace_an': -5}
  • id: 32376611
    {'hecke_orbit_code': 9012902988089156, 'n': 719, 'trace_an': 0}
  • id: 32376612
    {'hecke_orbit_code': 9012902988089156, 'n': 727, 'trace_an': 0}
  • id: 32376613
    {'hecke_orbit_code': 9012902988089156, 'n': 729, 'trace_an': -2}
  • id: 32376614
    {'hecke_orbit_code': 9012902988089156, 'n': 733, 'trace_an': 0}
  • id: 32376615
    {'hecke_orbit_code': 9012902988089156, 'n': 739, 'trace_an': -4}
  • id: 32376616
    {'hecke_orbit_code': 9012902988089156, 'n': 743, 'trace_an': 4}
  • id: 32376617
    {'hecke_orbit_code': 9012902988089156, 'n': 751, 'trace_an': -7}
  • id: 32376618
    {'hecke_orbit_code': 9012902988089156, 'n': 757, 'trace_an': 0}
  • id: 32376619
    {'hecke_orbit_code': 9012902988089156, 'n': 761, 'trace_an': 0}
  • id: 32376620
    {'hecke_orbit_code': 9012902988089156, 'n': 769, 'trace_an': 1}
  • id: 32376621
    {'hecke_orbit_code': 9012902988089156, 'n': 773, 'trace_an': 0}
  • id: 32376622
    {'hecke_orbit_code': 9012902988089156, 'n': 787, 'trace_an': 0}
  • id: 32376623
    {'hecke_orbit_code': 9012902988089156, 'n': 797, 'trace_an': 7}
  • id: 32376624
    {'hecke_orbit_code': 9012902988089156, 'n': 809, 'trace_an': 0}
  • id: 32376625
    {'hecke_orbit_code': 9012902988089156, 'n': 811, 'trace_an': 0}
  • id: 32376626
    {'hecke_orbit_code': 9012902988089156, 'n': 821, 'trace_an': 0}
  • id: 32376627
    {'hecke_orbit_code': 9012902988089156, 'n': 823, 'trace_an': 0}
  • id: 32376628
    {'hecke_orbit_code': 9012902988089156, 'n': 827, 'trace_an': -6}
  • id: 32376629
    {'hecke_orbit_code': 9012902988089156, 'n': 829, 'trace_an': 0}
  • id: 32376630
    {'hecke_orbit_code': 9012902988089156, 'n': 839, 'trace_an': 0}
  • id: 32376631
    {'hecke_orbit_code': 9012902988089156, 'n': 841, 'trace_an': 2}
  • id: 32376632
    {'hecke_orbit_code': 9012902988089156, 'n': 853, 'trace_an': 0}
  • id: 32376633
    {'hecke_orbit_code': 9012902988089156, 'n': 857, 'trace_an': 3}
  • id: 32376634
    {'hecke_orbit_code': 9012902988089156, 'n': 859, 'trace_an': -1}
  • id: 32376635
    {'hecke_orbit_code': 9012902988089156, 'n': 863, 'trace_an': -4}
  • id: 32376636
    {'hecke_orbit_code': 9012902988089156, 'n': 877, 'trace_an': 0}
  • id: 32376637
    {'hecke_orbit_code': 9012902988089156, 'n': 881, 'trace_an': 0}
  • id: 32376638
    {'hecke_orbit_code': 9012902988089156, 'n': 883, 'trace_an': 0}
  • id: 32376639
    {'hecke_orbit_code': 9012902988089156, 'n': 887, 'trace_an': 0}
  • id: 32376640
    {'hecke_orbit_code': 9012902988089156, 'n': 907, 'trace_an': 0}
  • id: 32376641
    {'hecke_orbit_code': 9012902988089156, 'n': 911, 'trace_an': 0}
  • id: 32376642
    {'hecke_orbit_code': 9012902988089156, 'n': 919, 'trace_an': -3}
  • id: 32376643
    {'hecke_orbit_code': 9012902988089156, 'n': 929, 'trace_an': 0}
  • id: 32376644
    {'hecke_orbit_code': 9012902988089156, 'n': 937, 'trace_an': 0}
  • id: 32376645
    {'hecke_orbit_code': 9012902988089156, 'n': 941, 'trace_an': 0}
  • id: 32376646
    {'hecke_orbit_code': 9012902988089156, 'n': 947, 'trace_an': -6}
  • id: 32376647
    {'hecke_orbit_code': 9012902988089156, 'n': 953, 'trace_an': 0}
  • id: 32376648
    {'hecke_orbit_code': 9012902988089156, 'n': 961, 'trace_an': -2}
  • id: 32376649
    {'hecke_orbit_code': 9012902988089156, 'n': 967, 'trace_an': 0}
  • id: 32376650
    {'hecke_orbit_code': 9012902988089156, 'n': 971, 'trace_an': 0}
  • id: 32376651
    {'hecke_orbit_code': 9012902988089156, 'n': 977, 'trace_an': 3}
  • id: 32376652
    {'hecke_orbit_code': 9012902988089156, 'n': 983, 'trace_an': 1}
  • id: 32376653
    {'hecke_orbit_code': 9012902988089156, 'n': 991, 'trace_an': 2}
  • id: 32376654
    {'hecke_orbit_code': 9012902988089156, 'n': 997, 'trace_an': 0}