Embedded newform data - 1860.1.df.a.1499.1

Formats: - HTML - YAML - JSON - 2025-12-05T15:16:38.940700

• 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': 1, 'hecke_orbit_code': 5703733348164, '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.a', '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}^{8}q^{2}-\\zeta_{30}^{14}q^{3}-\\zeta_{30}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': 1261806210401903, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.074', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.663', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.518', 'prec': 17}, {'__RealLiteral__': 0, 'data': '426.660', 'prec': 24}, {'__RealLiteral__': 0, 'data': '179.899', 'prec': 24}, {'__RealLiteral__': 0, 'data': '36618.169', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.602', 'prec': 17}, 'traces': [8, -1, -1, 1, -4, 1, 0, 2, 1, 2, 0, -8, 0, 0, 2, 1, 3, 2, 2, 1, 0, 0, 6, 1, -4, 0, 2, 0, 0, 1, 2, 4, 0, 3, 0, 1, 0, 2, 0, -1, 0, 0, 0, 0, 1, -2, 0, -1, -1, -1, 3, 0, 0, -4, 0, 0, -3, 0, 0, 4, 0, 1, 0, -2, 0, 0, 0, 0, 3, 0, 0, -1, 0, 0, -1, 0, 0, 0, -1, -2, 1, 0, -1, 0, 0, 0, 0, 0, 0, -1, 0, 2, -4, -2, 5, -2, 0, -2, 0, -2, 0, 0, 0, 0, 0, 10, -5, -1, -6, 0, 0, 0, -1, 0, -3, 0, 0, 0, 0, -2, 1, 3, 0, -1, 8, 0, 0, -1, 0, 0, 0, 0, 0, 0, -1, -3, -3, 2, -2, 0, -7, 0, 0, 8, 0, 0, -2, 0, 0, -2, -4, 3, 0, 0, -1, 0, 0, -9, 0, 4, 0, -1, 0, 0, 0, -2, 1, 0, -1, -3, -5, 0, 2, 0, 0, 0, 0, 0, 0, -2, 0, 0, -2, -6, 0, -1, 0, 3, 0, -7, 0, -1, 0, 0, 0, 4, -7, 0, -1, -1, 0, 0, 0, -3, 0, 0, 2, 0, 0, 0, 0, -5, 0, 0, 0, -2, 0, 2, 0, 0, 0, 0, 0, 0, -2, 8, 3, -2, 5, 4, 0, 0, 3, 0, 3, 0, 1, 0, 0, -1, -3, -1, 4, -2, -1, 0, 0, 8, -2, -1, 0, 0, 0, 0, -3, 1, 1, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 8, -2, 12, 0, -5, 0, -6, 0, -6, -1, 0, 0, 3, 0, 0, 3, 0, 0, -1, -2, 0, 0, 0, 1, -1, 0, 0, 0, 0, 0, 4, 0, -2, 0, 3, 3, -3, 0, 0, 0, -2, 0, 0, 0, 0, 0, -3, 6, 0, 0, 1, -5, 0, -12, -2, 0, 0, 2, 0, 0, 0, -6, -6, 0, -1, 0, 0, 0, 1, -2, -3, 0, 3, 0, 0, -6, -6, 1, 0, 3, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, -1, -7, -10, -1, 0, 0, 3, 0, 2, 0, 0, 0, -2, 0, 0, -1, 5, 0, 0, 0, 3, 0, 0, -1, -4, 0, 0, 0, 0, 0, 0, 6, 1, 0, 0, 2, 0, 0, -2, 0, 1, 0, 0, 0, 0, -2, 0, 0, -3, 3, 0, 5, 0, 0, 4, -1, 0, 9, 0, 0, 0, 1, -5, -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, -1, 3, 0, 0, -2, 0, 5, 12, 2, 0, 0, 0, 0, 8, -1, -10, 0, 0, -5, 0, 0, 0, 2, -7, 0, 5, 0, 0, 1, 0, -3, 0, 8, 0, -2, 0, -5, 0, 1, 0, 0, 0, 0, 0, -1, 0, 9, 3, 1, -1, 0, 0, 0, 0, 0, 1, 0, 0, 12, 0, 2, 3, -3, 0, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, -1, -3, 0, 4, -5, 0, 0, 0, 0, 10, 0, 0, 0, 0, -1, 6, 9, 0, 0, 3, 0, 0, 3, 3, 0, 0, 2, 0, 0, 0, 1, 0, -2, 0, 0, 0, 0, 3, 0, -1, 0, 0, 0, 0, 3, 3, 0, 0, 0, -3, 1, 0, -4, 0, 0, 0, 0, 0, 0, 0, -6, 3, 1, 3, 0, 0, 0, -3, 0, 0, 0, -2, 0, 0, 1, 3, 0, 0, 2, -2, 0, 0, -5, 0, 0, 0, -3, 0, 0, 0, 0, -3, 0, 2, -1, 4, 0, 0, 0, -4, 0, 0, 0, 0, 0, 6, 1, 0, -1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 6, -2, 4, 0, 0, 0, 0, -2, 3, 0, 0, 0, 0, 0, 0, -1, 3, 0, 1, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, -1, 2, 0, -1, 0, 0, 0, 0, 0, 3, 3, 0, 0, 0, 0, 2, -7, 2, 0, 9, 1, 0, 0, -1, -1, 0, 0, 0, 0, 0, 5, -3, 0, 0, -5, 0, -3, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, 6, 7, 0, 0, -2, 0, 0, -2, 0, 0, 0, 0, 0, 1, 3, 0, 0, 4, 0, 0, 0, 4, -1, 0, 0, -1, 0, 0, 1, 7, -3, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, -2, 0, 2, 1, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 6, 0, 2, 0, 0, 0, 7, -1, 6, 0, 0, 0, 0, 0, 4, -7, 0, -12, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, -1, 0, 0, 0, 0, -2, 0, 0, 0, 3, 0, 0, 0, 0, -6, -3, 0, 1, 0, 0, 0, 1, -2, 0, -2, 0, 0, 0, 2, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, -5, -3, 0, 1, 0, 0, 0, -4, 1, 2, 0, 16, 0, 0, 0, 0, -4, 0, -1, 0, 0, 0, -10, -1, 0, 0, -4, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, -3, 0, -3, 0, 0, 0, 0, 0, 0, -5, 0, 0, -3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 1, 0, 5, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, -6, 1, 0, 5, -1, 0, 0, 5, 0, 0, 0, 0, 0, 2, -2, 0, 0, 0, 0, 0, 0, -1, 6, 0, 0, -1, 0, 0, 0, -3, -3, 0, 0, -8, -2, 0, 1, 0, 2, 0, 0, 0, 0, 0, -2, 1, -2, 0, -1, 1, 0, 2, 0, 2, 0, 3, 0, 0, 0, 0, 0, 0, -2, 0, 0, 0, 7, -8, 0, 0, 4, 0, 0, 0, 0, 0, 0, -4, 0, -7, 0, -9, 0, 0, 0, 0, 0, 0, 2, 0, 3, 2, 5, 0, -1, 0, 0, 0, 0, 0, -6, 0, 0, 0, -2, 1, 0, -3, 0, 0, 0, 2, -3, 10, 0, 0, 0, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -1, -4, -9, 0, 5, 0, 3, -2, -4, 0, 0, 0, 0, 0, -7, 0, 5, 0, 0, 0, 0, -3, -2, 0, 0, 0, 0, 0, 0, 0, -3, 0, -3, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 3, 2, 0, -4, 0, 0, 0, 0, -3, 0, -5, 0, 0, -5, 0, -4, 0, 0, -10, 0, 0, 0, 3, -2, 0, 2, 0, 0, 0, -2, 0, 0, -3, 0, 0, 0, 10, 0, -9, 0, 0, 0, 0, 0, 9, 3, 6, 9, -3, 2, 0, 3, 0, 0, 0, -3, 0, 0, 1, 1, 3, 0, 0, 0, 0, 0, 5, -1, 0, 0, 0, 0, 0, 2, 0, 3, 0, 0, 0, 0, 0, -6, 0, -1, 0, 0, 0, 0, 4, 7, 6, 0, -5, 7, 0, 0, -3, 0, 2, 0, 3, 0, 0, 0, -9, 0, -7, -2, 0, 0, 0, 6, 0, -4, 0, -3, 0, 0, 1, 0, 0, 0, -1, 2, -9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, -1, 0, 10, 0, 3, 0, 0, 0, -10, 0, 0, 0, 0, 3, 0, 0, 1, 0, 0, -1, 5, 1, 0, 0, 0, 0, 0, -3, 3, 0, -1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 12, 6, 0, 0, 4, 0, 0, 0, 6, 0, 0, 0, 0, 0, -2, -2, 1, -1, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, -4, 0, 1, 0, -10, 1, 1, 0, 0, 2, -12, 0, -3, 0, 0, 0, -3, 9, 0, 4, -2, 0, 0, -3, 0, 0, 0, -3, 0, 0, 3, 5, 0, 0, 3, 0, 0, 0, -2, 0, -3, 0, 0, 0, 0, -1, 1, 0, 6, 0, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, -3, 0, 5, 0, 0, 0, 0, 0, 3, 0, 0, 0, -9, 0, 0, 0, -3, 0, 0, -3, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -7, -2, -5, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, -3, -2, 0, 0, 0, 0, 2, 0, -4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 2, -2, 1, 2, 0, 0, 0, -1, -9, 0, 0, 2, 0, 0, -8, -3, -3, -2, -3, 0, 0, 0, 0, -5, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, -3, 2, 0, 0, 0, -3, 0, 0, 0, 0, 0, 1, -1, 0, 0, 0, 1, 0, -1, 3, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, -5, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, -3, -5, -9, 3, -6, -3, 0, -5, 0, 3, 0, 2, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, -3, 0, 1, 0, 0, 0, 0, -5, 0, -2, 0, -2, 0, 0, 0, -8, 0, 3, 0, 0, 0, 0, 1, -1, 0, -6, 0, 0, 1, 0, 0, -5, 0, 0, 3, 0, 0, -4, 0, 1, 0, 0, 0, 0, 0, 5, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 9, -2, 0, -2, 0, -3, 0, 0, 0, 0, 0, -12, -1, 2, 3, -1, 2, 0, 0, -1, 0, 0, 0, 0, 0, 0, 1, -4, 0, -4, 0, 0, 0, 0, -5, 1, 0, 7, 0, 0, 1, 0, 5, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 4, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 3, 2, 0, -8, 0, 3, 0, 0, 2, -2, -2, 0, 0, 0, 0, 0, 1, 0, 0, 3, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 4, 0, -1, 0, 0, 2, 0, 0, -7, 0, 0, 0, 0, 2, -3, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 8, -3, 0, -2, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 2, -7, 15, 3, 0, 8, 0, 0, 2, 0, 5, 0, 4, 0, 0, -1, 12, 8, 0, 0, 0, 0, 0, 3, -3, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, -3, 0, 1, 0, -2, 0, -6, 0, 0, 0, 1, 0, 0, 1, 2, -3, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -7, 0, -5, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 2, 1, 0, 9, 0, 0, -10, -3, 0, -2, 0, 0, 0, 7, 0, 0, 8, 0, 0, 0, 5, 0, -1, 0, 0, 0, 0, -4, 0, 4, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 1, 0, -12, 0, 0, 9, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2, -3, 0, 1, 0, 0, 0, 0, 4, 1, 0, -4, 0, 0, 0, -3, 0, 0, 0, -3, 0, 0, 6, 0, -1, 0, 0, 0, 0, 0, 0, 9, -2, 2, 0, -1, 0, 0, 0, 1, 0, 2, 0, 0, 0, 4, 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

  
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-0.18333333333333332, -0.4666666666666667, -0.3, -0.18333333333333332, -0.23333333333333334, -0.4666666666666667, -0.43333333333333335, 0.3333333333333333, -0.38333333333333336, 0.26666666666666666, -0.2833333333333333, -0.016666666666666666, -0.06666666666666667, -0.26666666666666666, -0.16666666666666666, -0.38333333333333336, -0.4, 0.36666666666666664, 0.03333333333333333, -0.15, -0.2, -0.48333333333333334, -0.23333333333333334, 0.13333333333333333, -0.4666666666666667, -0.4666666666666667, -0.36666666666666664, -0.16666666666666666, -0.31666666666666665, -0.43333333333333335, 0.0, -0.3, -0.03333333333333333, -0.2833333333333333, -0.31666666666666665, -0.3, -0.2, -0.4666666666666667, -0.4666666666666667, -0.11666666666666667, -0.13333333333333333, -0.45, -0.06666666666666667, 0.3333333333333333, 0.23333333333333334, -0.05, -0.2, -0.3333333333333333, -0.36666666666666664, -0.16666666666666666, -0.23333333333333334, -0.2833333333333333, -0.2, -0.36666666666666664, -0.15, -0.4666666666666667, -0.4666666666666667, -0.25, -0.26666666666666666, -0.18333333333333332, -0.3333333333333333, -0.43333333333333335, -0.16666666666666666, -0.38333333333333336, -0.3333333333333333, -0.36666666666666664, -0.43333333333333335, -0.3333333333333333, -0.3333333333333333, 0.0, -0.1, -0.3, -0.15, -0.13333333333333333, -0.16666666666666666, -0.08333333333333333, -0.3333333333333333, -0.26666666666666666, -0.48333333333333334, -0.4, -0.05, -0.16666666666666666, -0.4, -0.36666666666666664, -0.36666666666666664, -0.016666666666666666, 0.0, -0.016666666666666666, -0.43333333333333335, -0.35, -0.4166666666666667, 0.0, 0.0, -0.11666666666666667, -0.06666666666666667, -0.16666666666666666, -0.4, -0.1, 0.0, -0.4, -0.43333333333333335, 0.03333333333333333, -0.36666666666666664, -0.4, -0.21666666666666667, -0.3, -0.23333333333333334, -0.13333333333333333, -0.03333333333333333, -0.4, -0.08333333333333333, -0.25, -0.25, -0.16666666666666666, -0.06666666666666667, -0.36666666666666664, -0.4166666666666667, -0.36666666666666664, 0.0, -0.3333333333333333, -0.4666666666666667, -0.43333333333333335, -0.06666666666666667, -0.11666666666666667, 0.06666666666666667, 0.36666666666666664, 0.1, -0.03333333333333333, -0.13333333333333333, -0.4166666666666667, -0.35, -0.36666666666666664, -0.36666666666666664, -0.016666666666666666, -0.3333333333333333, -0.23333333333333334, -0.4666666666666667, -0.4666666666666667, -0.43333333333333335, -0.4, -0.4666666666666667, -0.3, -0.26666666666666666, -0.4, 0.3333333333333333, -0.48333333333333334, -0.06666666666666667, -0.13333333333333333, -0.43333333333333335, -0.3333333333333333, -0.2, -0.43333333333333335, -0.03333333333333333, 0.03333333333333333, -0.3333333333333333, -0.016666666666666666, 0.13333333333333333, -0.2, 0.3, -0.06666666666666667, -0.18333333333333332, 0.06666666666666667, -0.4666666666666667, -0.4666666666666667, -0.16666666666666666, -0.13333333333333333, -0.1, -0.2, -0.2833333333333333, -0.4666666666666667, -0.1, -0.43333333333333335, -0.31666666666666665, -0.1, -0.13333333333333333, -0.45, -0.4, -0.3, 0.26666666666666666, -0.03333333333333333, 0.06666666666666667, -0.4666666666666667, 0.2, -0.26666666666666666, -0.016666666666666666, -0.43333333333333335, -0.2833333333333333, -0.13333333333333333, 0.23333333333333334, -0.05, -0.13333333333333333, -0.4666666666666667, -0.13333333333333333, -0.48333333333333334, -0.18333333333333332, -0.35, -0.4666666666666667, -0.16666666666666666, -0.3333333333333333, -0.36666666666666664, -0.23333333333333334, -0.4, -0.3], 'char_orbit_index': 84, 'conrey_index': 1499, 'dual_conrey_index': 1319, 'dual_embedding_index': 1, 'dual_embedding_m': 5, 'embedding_index': 1, 'embedding_m': 7, 'embedding_root_imag': -0.7431448254773942, 'embedding_root_real': 0.6691306063588582, 'hecke_orbit': 1, 'hecke_orbit_code': 5703733348164, 'label': '1860.1.df.a.1499.1', '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: 33133069
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
  • id: 33133070
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 1}
  • id: 33133071
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 1}
  • id: 33133072
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 1}
  • id: 33133073
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 1}
  • id: 33133074
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 1}
  • id: 33133075
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 1}
  • id: 33133076
    {'conductor': 31, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '31.17', 'twisting_conrey_index': 17, 'weight': 1}
  • id: 33133077
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1499, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1499.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 1}
  • id: 33133078
    {'conductor': 93, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '93.17', 'twisting_conrey_index': 17, 'weight': 1}
  • id: 33133079
    {'conductor': 124, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '124.79', 'twisting_conrey_index': 79, 'weight': 1}
  • id: 33133080
    {'conductor': 155, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9012902988089156, 'target_is_minimal': True, 'target_label': '1860.1.df.c.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '155.79', 'twisting_conrey_index': 79, 'weight': 1}
  • id: 33133081
    {'conductor': 372, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '372.203', 'twisting_conrey_index': 203, 'weight': 1}
  • id: 33133082
    {'conductor': 465, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4509303360718660, 'target_is_minimal': True, 'target_label': '1860.1.df.b.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '465.389', 'twisting_conrey_index': 389, 'weight': 1}
  • id: 33133083
    {'conductor': 620, 'degree': 8, 'order': 30, 'parity': 1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13516502615459652, 'target_is_minimal': True, 'target_label': '1860.1.df.d.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '620.79', 'twisting_conrey_index': 79, 'weight': 1}
  • id: 33133084
    {'conductor': 1860, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1499, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 5703733348164, 'source_is_minimal': True, 'source_label': '1860.1.df.a.1499.1', 'source_level': 1860, 'target_conrey_index': 1319, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 5703733348164, 'target_is_minimal': True, 'target_label': '1860.1.df.a.1319.1', 'target_level': 1860, 'twist_class_label': '1860.1.df.a.1319.1', 'twist_class_level': 1860, 'twisting_char_label': '1860.1319', 'twisting_conrey_index': 1319, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2260325
    {'charpoly_factorization': [[[1, 1, 0, -1, -1, -1, 0, 1, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 2}
  • id: 2260326
    {'charpoly_factorization': [[[1, 1, 0, -1, -1, -1, 0, 1, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 3}
  • id: 2260327
    {'charpoly_factorization': [[[1, 1, 1], 4]], 'hecke_orbit_code': 5703733348164, 'p': 5}
  • id: 2260328
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 7}
  • id: 2260329
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 11}
  • id: 2260330
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 13}
  • id: 2260331
    {'charpoly_factorization': [[[81, -81, 54, -27, 9, -9, 6, -3, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 17}
  • id: 2260332
    {'charpoly_factorization': [[[1, 1, -1, -8, 9, -6, 6, -2, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 19}
  • id: 2260333
    {'charpoly_factorization': [[[1, -2, 4, -3, 1], 2]], 'hecke_orbit_code': 5703733348164, 'p': 23}
  • id: 2260334
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 29}
  • id: 2260335
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 2]], 'hecke_orbit_code': 5703733348164, 'p': 31}
  • id: 2260336
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 37}
  • id: 2260337
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 41}
  • id: 2260338
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 43}
  • id: 2260339
    {'charpoly_factorization': [[[1, -5, 13, -15, 4, 5, -3, 0, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 47}
  • id: 2260340
    {'charpoly_factorization': [[[25, -25, 25, 0, -5, 10, 0, 0, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 53}
  • id: 2260341
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 59}
  • id: 2260342
    {'charpoly_factorization': [[[1, 0, 8, 0, 14, 0, 7, 0, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 61}
  • id: 2260343
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 67}
  • id: 2260344
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 71}
  • id: 2260345
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 73}
  • id: 2260346
    {'charpoly_factorization': [[[1, 6, 20, -11, -6, 4, 0, 1, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 79}
  • id: 2260347
    {'charpoly_factorization': [[[1, -9, 20, 4, 9, 4, 0, 1, 1], 1]], 'hecke_orbit_code': 5703733348164, 'p': 83}
  • id: 2260348
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, 'p': 89}
  • id: 2260349
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 5703733348164, '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': 1, 'label': '1860.1.df.a', 'level': 1860, 'portrait': 'data:image/png;base64,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', 'weight': 1}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 15704526
    {'hecke_orbit_code': 5703733348164, 'n': 1, 'trace_an': 8}
  • id: 15704527
    {'hecke_orbit_code': 5703733348164, 'n': 2, 'trace_an': -1}
  • id: 15704528
    {'hecke_orbit_code': 5703733348164, 'n': 3, 'trace_an': -1}
  • id: 15704529
    {'hecke_orbit_code': 5703733348164, 'n': 4, 'trace_an': 1}
  • id: 15704530
    {'hecke_orbit_code': 5703733348164, 'n': 5, 'trace_an': -4}
  • id: 15704531
    {'hecke_orbit_code': 5703733348164, 'n': 6, 'trace_an': 1}
  • id: 15704532
    {'hecke_orbit_code': 5703733348164, 'n': 7, 'trace_an': 0}
  • id: 15704533
    {'hecke_orbit_code': 5703733348164, 'n': 8, 'trace_an': 2}
  • id: 15704534
    {'hecke_orbit_code': 5703733348164, 'n': 9, 'trace_an': 1}
  • id: 15704535
    {'hecke_orbit_code': 5703733348164, 'n': 10, 'trace_an': 2}
  • id: 15704536
    {'hecke_orbit_code': 5703733348164, 'n': 11, 'trace_an': 0}
  • id: 15704537
    {'hecke_orbit_code': 5703733348164, 'n': 12, 'trace_an': -8}
  • id: 15704538
    {'hecke_orbit_code': 5703733348164, 'n': 13, 'trace_an': 0}
  • id: 15704539
    {'hecke_orbit_code': 5703733348164, 'n': 14, 'trace_an': 0}
  • id: 15704540
    {'hecke_orbit_code': 5703733348164, 'n': 15, 'trace_an': 2}
  • id: 15704541
    {'hecke_orbit_code': 5703733348164, 'n': 16, 'trace_an': 1}
  • id: 15704542
    {'hecke_orbit_code': 5703733348164, 'n': 17, 'trace_an': 3}
  • id: 15704543
    {'hecke_orbit_code': 5703733348164, 'n': 18, 'trace_an': 2}
  • id: 15704544
    {'hecke_orbit_code': 5703733348164, 'n': 19, 'trace_an': 2}
  • id: 15704545
    {'hecke_orbit_code': 5703733348164, 'n': 20, 'trace_an': 1}
  • id: 15704546
    {'hecke_orbit_code': 5703733348164, 'n': 21, 'trace_an': 0}
  • id: 15704547
    {'hecke_orbit_code': 5703733348164, 'n': 22, 'trace_an': 0}
  • id: 15704548
    {'hecke_orbit_code': 5703733348164, 'n': 23, 'trace_an': 6}
  • id: 15704549
    {'hecke_orbit_code': 5703733348164, 'n': 24, 'trace_an': 1}
  • id: 15704550
    {'hecke_orbit_code': 5703733348164, 'n': 25, 'trace_an': -4}
  • id: 15704551
    {'hecke_orbit_code': 5703733348164, 'n': 26, 'trace_an': 0}
  • id: 15704552
    {'hecke_orbit_code': 5703733348164, 'n': 27, 'trace_an': 2}
  • id: 15704553
    {'hecke_orbit_code': 5703733348164, 'n': 28, 'trace_an': 0}
  • id: 15704554
    {'hecke_orbit_code': 5703733348164, 'n': 29, 'trace_an': 0}
  • id: 15704555
    {'hecke_orbit_code': 5703733348164, 'n': 30, 'trace_an': 1}
  • id: 15704556
    {'hecke_orbit_code': 5703733348164, 'n': 31, 'trace_an': 2}
  • id: 15704557
    {'hecke_orbit_code': 5703733348164, 'n': 32, 'trace_an': 4}
  • id: 15704558
    {'hecke_orbit_code': 5703733348164, 'n': 33, 'trace_an': 0}
  • id: 15704559
    {'hecke_orbit_code': 5703733348164, 'n': 34, 'trace_an': 3}
  • id: 15704560
    {'hecke_orbit_code': 5703733348164, 'n': 35, 'trace_an': 0}
  • id: 15704561
    {'hecke_orbit_code': 5703733348164, 'n': 36, 'trace_an': 1}
  • id: 15704562
    {'hecke_orbit_code': 5703733348164, 'n': 37, 'trace_an': 0}
  • id: 15704563
    {'hecke_orbit_code': 5703733348164, 'n': 38, 'trace_an': 2}
  • id: 15704564
    {'hecke_orbit_code': 5703733348164, 'n': 39, 'trace_an': 0}
  • id: 15704565
    {'hecke_orbit_code': 5703733348164, 'n': 40, 'trace_an': -1}
  • id: 15704566
    {'hecke_orbit_code': 5703733348164, 'n': 41, 'trace_an': 0}
  • id: 15704567
    {'hecke_orbit_code': 5703733348164, 'n': 42, 'trace_an': 0}
  • id: 15704568
    {'hecke_orbit_code': 5703733348164, 'n': 43, 'trace_an': 0}
  • id: 15704569
    {'hecke_orbit_code': 5703733348164, 'n': 44, 'trace_an': 0}
  • id: 15704570
    {'hecke_orbit_code': 5703733348164, 'n': 45, 'trace_an': 1}
  • id: 15704571
    {'hecke_orbit_code': 5703733348164, 'n': 46, 'trace_an': -2}
  • id: 15704572
    {'hecke_orbit_code': 5703733348164, 'n': 47, 'trace_an': 0}
  • id: 15704573
    {'hecke_orbit_code': 5703733348164, 'n': 48, 'trace_an': -1}
  • id: 15704574
    {'hecke_orbit_code': 5703733348164, 'n': 49, 'trace_an': -1}
  • id: 15704575
    {'hecke_orbit_code': 5703733348164, 'n': 50, 'trace_an': -1}
  • id: 15704576
    {'hecke_orbit_code': 5703733348164, 'n': 51, 'trace_an': 3}
  • id: 15704577
    {'hecke_orbit_code': 5703733348164, 'n': 52, 'trace_an': 0}
  • id: 15704578
    {'hecke_orbit_code': 5703733348164, 'n': 53, 'trace_an': 0}
  • id: 15704579
    {'hecke_orbit_code': 5703733348164, 'n': 54, 'trace_an': -4}
  • id: 15704580
    {'hecke_orbit_code': 5703733348164, 'n': 55, 'trace_an': 0}
  • id: 15704581
    {'hecke_orbit_code': 5703733348164, 'n': 56, 'trace_an': 0}
  • id: 15704582
    {'hecke_orbit_code': 5703733348164, 'n': 57, 'trace_an': -3}
  • id: 15704583
    {'hecke_orbit_code': 5703733348164, 'n': 58, 'trace_an': 0}
  • id: 15704584
    {'hecke_orbit_code': 5703733348164, 'n': 59, 'trace_an': 0}
  • id: 15704585
    {'hecke_orbit_code': 5703733348164, 'n': 60, 'trace_an': 4}
  • id: 15704586
    {'hecke_orbit_code': 5703733348164, 'n': 61, 'trace_an': 0}
  • id: 15704587
    {'hecke_orbit_code': 5703733348164, 'n': 62, 'trace_an': 1}
  • id: 15704588
    {'hecke_orbit_code': 5703733348164, 'n': 63, 'trace_an': 0}
  • id: 15704589
    {'hecke_orbit_code': 5703733348164, 'n': 64, 'trace_an': -2}
  • id: 15704590
    {'hecke_orbit_code': 5703733348164, 'n': 65, 'trace_an': 0}
  • id: 15704591
    {'hecke_orbit_code': 5703733348164, 'n': 66, 'trace_an': 0}
  • id: 15704592
    {'hecke_orbit_code': 5703733348164, 'n': 67, 'trace_an': 0}
  • id: 15704593
    {'hecke_orbit_code': 5703733348164, 'n': 68, 'trace_an': 0}
  • id: 15704594
    {'hecke_orbit_code': 5703733348164, 'n': 69, 'trace_an': 3}
  • id: 15704595
    {'hecke_orbit_code': 5703733348164, 'n': 70, 'trace_an': 0}
  • id: 15704596
    {'hecke_orbit_code': 5703733348164, 'n': 71, 'trace_an': 0}
  • id: 15704597
    {'hecke_orbit_code': 5703733348164, 'n': 72, 'trace_an': -1}
  • id: 15704598
    {'hecke_orbit_code': 5703733348164, 'n': 73, 'trace_an': 0}
  • id: 15704599
    {'hecke_orbit_code': 5703733348164, 'n': 74, 'trace_an': 0}
  • id: 15704600
    {'hecke_orbit_code': 5703733348164, 'n': 75, 'trace_an': -1}
  • id: 15704601
    {'hecke_orbit_code': 5703733348164, 'n': 76, 'trace_an': 0}
  • id: 15704602
    {'hecke_orbit_code': 5703733348164, 'n': 77, 'trace_an': 0}
  • id: 15704603
    {'hecke_orbit_code': 5703733348164, 'n': 78, 'trace_an': 0}
  • id: 15704604
    {'hecke_orbit_code': 5703733348164, 'n': 79, 'trace_an': -1}
  • id: 15704605
    {'hecke_orbit_code': 5703733348164, 'n': 80, 'trace_an': -2}
  • id: 15704606
    {'hecke_orbit_code': 5703733348164, 'n': 81, 'trace_an': 1}
  • id: 15704607
    {'hecke_orbit_code': 5703733348164, 'n': 82, 'trace_an': 0}
  • id: 15704608
    {'hecke_orbit_code': 5703733348164, 'n': 83, 'trace_an': -1}
  • id: 15704609
    {'hecke_orbit_code': 5703733348164, 'n': 84, 'trace_an': 0}
  • id: 15704610
    {'hecke_orbit_code': 5703733348164, 'n': 85, 'trace_an': 0}
  • id: 15704611
    {'hecke_orbit_code': 5703733348164, 'n': 86, 'trace_an': 0}
  • id: 15704612
    {'hecke_orbit_code': 5703733348164, 'n': 87, 'trace_an': 0}
  • id: 15704613
    {'hecke_orbit_code': 5703733348164, 'n': 88, 'trace_an': 0}
  • id: 15704614
    {'hecke_orbit_code': 5703733348164, 'n': 89, 'trace_an': 0}
  • id: 15704615
    {'hecke_orbit_code': 5703733348164, 'n': 90, 'trace_an': -1}
  • id: 15704616
    {'hecke_orbit_code': 5703733348164, 'n': 91, 'trace_an': 0}
  • id: 15704617
    {'hecke_orbit_code': 5703733348164, 'n': 92, 'trace_an': 2}
  • id: 15704618
    {'hecke_orbit_code': 5703733348164, 'n': 93, 'trace_an': -4}
  • id: 15704619
    {'hecke_orbit_code': 5703733348164, 'n': 94, 'trace_an': -2}
  • id: 15704620
    {'hecke_orbit_code': 5703733348164, 'n': 95, 'trace_an': 5}
  • id: 15704621
    {'hecke_orbit_code': 5703733348164, 'n': 96, 'trace_an': -2}
  • id: 15704622
    {'hecke_orbit_code': 5703733348164, 'n': 97, 'trace_an': 0}
  • id: 15704623
    {'hecke_orbit_code': 5703733348164, 'n': 98, 'trace_an': -2}
  • id: 15704624
    {'hecke_orbit_code': 5703733348164, 'n': 99, 'trace_an': 0}
  • id: 15704625
    {'hecke_orbit_code': 5703733348164, 'n': 100, 'trace_an': -2}
  • id: 15704626
    {'hecke_orbit_code': 5703733348164, 'n': 101, 'trace_an': 0}
  • id: 15704627
    {'hecke_orbit_code': 5703733348164, 'n': 103, 'trace_an': 0}
  • id: 15704628
    {'hecke_orbit_code': 5703733348164, 'n': 107, 'trace_an': -5}
  • id: 15704629
    {'hecke_orbit_code': 5703733348164, 'n': 109, 'trace_an': -6}
  • id: 15704630
    {'hecke_orbit_code': 5703733348164, 'n': 113, 'trace_an': -1}
  • id: 15704631
    {'hecke_orbit_code': 5703733348164, 'n': 121, 'trace_an': 1}
  • id: 15704632
    {'hecke_orbit_code': 5703733348164, 'n': 125, 'trace_an': 8}
  • id: 15704633
    {'hecke_orbit_code': 5703733348164, 'n': 127, 'trace_an': 0}
  • id: 15704634
    {'hecke_orbit_code': 5703733348164, 'n': 128, 'trace_an': -1}
  • id: 15704635
    {'hecke_orbit_code': 5703733348164, 'n': 131, 'trace_an': 0}
  • id: 15704636
    {'hecke_orbit_code': 5703733348164, 'n': 137, 'trace_an': -3}
  • id: 15704637
    {'hecke_orbit_code': 5703733348164, 'n': 139, 'trace_an': -2}
  • id: 15704638
    {'hecke_orbit_code': 5703733348164, 'n': 149, 'trace_an': 0}
  • id: 15704639
    {'hecke_orbit_code': 5703733348164, 'n': 151, 'trace_an': -4}
  • id: 15704640
    {'hecke_orbit_code': 5703733348164, 'n': 157, 'trace_an': 0}
  • id: 15704641
    {'hecke_orbit_code': 5703733348164, 'n': 163, 'trace_an': 0}
  • id: 15704642
    {'hecke_orbit_code': 5703733348164, 'n': 167, 'trace_an': 1}
  • id: 15704643
    {'hecke_orbit_code': 5703733348164, 'n': 169, 'trace_an': -1}
  • id: 15704644
    {'hecke_orbit_code': 5703733348164, 'n': 173, 'trace_an': 2}
  • id: 15704645
    {'hecke_orbit_code': 5703733348164, 'n': 179, 'trace_an': 0}
  • id: 15704646
    {'hecke_orbit_code': 5703733348164, 'n': 181, 'trace_an': 0}
  • id: 15704647
    {'hecke_orbit_code': 5703733348164, 'n': 191, 'trace_an': 0}
  • id: 15704648
    {'hecke_orbit_code': 5703733348164, 'n': 193, 'trace_an': 0}
  • id: 15704649
    {'hecke_orbit_code': 5703733348164, 'n': 197, 'trace_an': -7}
  • id: 15704650
    {'hecke_orbit_code': 5703733348164, 'n': 199, 'trace_an': -1}
  • id: 15704651
    {'hecke_orbit_code': 5703733348164, 'n': 211, 'trace_an': 0}
  • id: 15704652
    {'hecke_orbit_code': 5703733348164, 'n': 223, 'trace_an': 0}
  • id: 15704653
    {'hecke_orbit_code': 5703733348164, 'n': 227, 'trace_an': 3}
  • id: 15704654
    {'hecke_orbit_code': 5703733348164, 'n': 229, 'trace_an': 5}
  • id: 15704655
    {'hecke_orbit_code': 5703733348164, 'n': 233, 'trace_an': 3}
  • id: 15704656
    {'hecke_orbit_code': 5703733348164, 'n': 239, 'trace_an': 0}
  • id: 15704657
    {'hecke_orbit_code': 5703733348164, 'n': 241, 'trace_an': -3}
  • id: 15704658
    {'hecke_orbit_code': 5703733348164, 'n': 243, 'trace_an': 4}
  • id: 15704659
    {'hecke_orbit_code': 5703733348164, 'n': 251, 'trace_an': 0}
  • id: 15704660
    {'hecke_orbit_code': 5703733348164, 'n': 256, 'trace_an': 1}
  • id: 15704661
    {'hecke_orbit_code': 5703733348164, 'n': 257, 'trace_an': 1}
  • id: 15704662
    {'hecke_orbit_code': 5703733348164, 'n': 263, 'trace_an': 3}
  • id: 15704663
    {'hecke_orbit_code': 5703733348164, 'n': 269, 'trace_an': 0}
  • id: 15704664
    {'hecke_orbit_code': 5703733348164, 'n': 271, 'trace_an': -2}
  • id: 15704665
    {'hecke_orbit_code': 5703733348164, 'n': 277, 'trace_an': 0}
  • id: 15704666
    {'hecke_orbit_code': 5703733348164, 'n': 281, 'trace_an': 0}
  • id: 15704667
    {'hecke_orbit_code': 5703733348164, 'n': 283, 'trace_an': 0}
  • id: 15704668
    {'hecke_orbit_code': 5703733348164, 'n': 289, 'trace_an': -2}
  • id: 15704669
    {'hecke_orbit_code': 5703733348164, 'n': 293, 'trace_an': 1}
  • id: 15704670
    {'hecke_orbit_code': 5703733348164, 'n': 307, 'trace_an': 0}
  • id: 15704671
    {'hecke_orbit_code': 5703733348164, 'n': 311, 'trace_an': 0}
  • id: 15704672
    {'hecke_orbit_code': 5703733348164, 'n': 313, 'trace_an': 0}
  • id: 15704673
    {'hecke_orbit_code': 5703733348164, 'n': 317, 'trace_an': 6}
  • id: 15704674
    {'hecke_orbit_code': 5703733348164, 'n': 331, 'trace_an': -6}
  • id: 15704675
    {'hecke_orbit_code': 5703733348164, 'n': 337, 'trace_an': 0}
  • id: 15704676
    {'hecke_orbit_code': 5703733348164, 'n': 343, 'trace_an': 0}
  • id: 15704677
    {'hecke_orbit_code': 5703733348164, 'n': 347, 'trace_an': 1}
  • id: 15704678
    {'hecke_orbit_code': 5703733348164, 'n': 349, 'trace_an': 3}
  • id: 15704679
    {'hecke_orbit_code': 5703733348164, 'n': 353, 'trace_an': -3}
  • id: 15704680
    {'hecke_orbit_code': 5703733348164, 'n': 359, 'trace_an': 0}
  • id: 15704681
    {'hecke_orbit_code': 5703733348164, 'n': 361, 'trace_an': -7}
  • id: 15704682
    {'hecke_orbit_code': 5703733348164, 'n': 367, 'trace_an': 0}
  • id: 15704683
    {'hecke_orbit_code': 5703733348164, 'n': 373, 'trace_an': 0}
  • id: 15704684
    {'hecke_orbit_code': 5703733348164, 'n': 379, 'trace_an': 0}
  • id: 15704685
    {'hecke_orbit_code': 5703733348164, 'n': 383, 'trace_an': -1}
  • id: 15704686
    {'hecke_orbit_code': 5703733348164, 'n': 389, 'trace_an': 0}
  • id: 15704687
    {'hecke_orbit_code': 5703733348164, 'n': 397, 'trace_an': 0}
  • id: 15704688
    {'hecke_orbit_code': 5703733348164, 'n': 401, 'trace_an': 0}
  • id: 15704689
    {'hecke_orbit_code': 5703733348164, 'n': 409, 'trace_an': 3}
  • id: 15704690
    {'hecke_orbit_code': 5703733348164, 'n': 419, 'trace_an': 0}
  • id: 15704691
    {'hecke_orbit_code': 5703733348164, 'n': 421, 'trace_an': 1}
  • id: 15704692
    {'hecke_orbit_code': 5703733348164, 'n': 431, 'trace_an': 0}
  • id: 15704693
    {'hecke_orbit_code': 5703733348164, 'n': 433, 'trace_an': 0}
  • id: 15704694
    {'hecke_orbit_code': 5703733348164, 'n': 439, 'trace_an': 0}
  • id: 15704695
    {'hecke_orbit_code': 5703733348164, 'n': 443, 'trace_an': 3}
  • id: 15704696
    {'hecke_orbit_code': 5703733348164, 'n': 449, 'trace_an': 0}
  • id: 15704697
    {'hecke_orbit_code': 5703733348164, 'n': 457, 'trace_an': 0}
  • id: 15704698
    {'hecke_orbit_code': 5703733348164, 'n': 461, 'trace_an': 0}
  • id: 15704699
    {'hecke_orbit_code': 5703733348164, 'n': 463, 'trace_an': 0}
  • id: 15704700
    {'hecke_orbit_code': 5703733348164, 'n': 467, 'trace_an': -10}
  • id: 15704701
    {'hecke_orbit_code': 5703733348164, 'n': 479, 'trace_an': 0}
  • id: 15704702
    {'hecke_orbit_code': 5703733348164, 'n': 487, 'trace_an': 0}
  • id: 15704703
    {'hecke_orbit_code': 5703733348164, 'n': 491, 'trace_an': 0}
  • id: 15704704
    {'hecke_orbit_code': 5703733348164, 'n': 499, 'trace_an': 3}
  • id: 15704705
    {'hecke_orbit_code': 5703733348164, 'n': 503, 'trace_an': 0}
  • id: 15704706
    {'hecke_orbit_code': 5703733348164, 'n': 509, 'trace_an': 0}
  • id: 15704707
    {'hecke_orbit_code': 5703733348164, 'n': 512, 'trace_an': 2}
  • id: 15704708
    {'hecke_orbit_code': 5703733348164, 'n': 521, 'trace_an': 0}
  • id: 15704709
    {'hecke_orbit_code': 5703733348164, 'n': 523, 'trace_an': 0}
  • id: 15704710
    {'hecke_orbit_code': 5703733348164, 'n': 529, 'trace_an': 4}
  • id: 15704711
    {'hecke_orbit_code': 5703733348164, 'n': 541, 'trace_an': 6}
  • id: 15704712
    {'hecke_orbit_code': 5703733348164, 'n': 547, 'trace_an': 0}
  • id: 15704713
    {'hecke_orbit_code': 5703733348164, 'n': 557, 'trace_an': 0}
  • id: 15704714
    {'hecke_orbit_code': 5703733348164, 'n': 563, 'trace_an': 3}
  • id: 15704715
    {'hecke_orbit_code': 5703733348164, 'n': 569, 'trace_an': 0}
  • id: 15704716
    {'hecke_orbit_code': 5703733348164, 'n': 571, 'trace_an': 3}
  • id: 15704717
    {'hecke_orbit_code': 5703733348164, 'n': 577, 'trace_an': 0}
  • id: 15704718
    {'hecke_orbit_code': 5703733348164, 'n': 587, 'trace_an': 3}
  • id: 15704719
    {'hecke_orbit_code': 5703733348164, 'n': 593, 'trace_an': -3}
  • id: 15704720
    {'hecke_orbit_code': 5703733348164, 'n': 599, 'trace_an': 0}
  • id: 15704721
    {'hecke_orbit_code': 5703733348164, 'n': 601, 'trace_an': 3}
  • id: 15704722
    {'hecke_orbit_code': 5703733348164, 'n': 607, 'trace_an': 0}
  • id: 15704723
    {'hecke_orbit_code': 5703733348164, 'n': 613, 'trace_an': 0}
  • id: 15704724
    {'hecke_orbit_code': 5703733348164, 'n': 617, 'trace_an': -3}
  • id: 15704725
    {'hecke_orbit_code': 5703733348164, 'n': 619, 'trace_an': 2}
  • id: 15704726
    {'hecke_orbit_code': 5703733348164, 'n': 625, 'trace_an': -4}
  • id: 15704727
    {'hecke_orbit_code': 5703733348164, 'n': 631, 'trace_an': 6}
  • id: 15704728
    {'hecke_orbit_code': 5703733348164, 'n': 641, 'trace_an': 0}
  • id: 15704729
    {'hecke_orbit_code': 5703733348164, 'n': 643, 'trace_an': 0}
  • id: 15704730
    {'hecke_orbit_code': 5703733348164, 'n': 647, 'trace_an': -2}
  • id: 15704731
    {'hecke_orbit_code': 5703733348164, 'n': 653, 'trace_an': -2}
  • id: 15704732
    {'hecke_orbit_code': 5703733348164, 'n': 659, 'trace_an': 0}
  • id: 15704733
    {'hecke_orbit_code': 5703733348164, 'n': 661, 'trace_an': -1}
  • id: 15704734
    {'hecke_orbit_code': 5703733348164, 'n': 673, 'trace_an': 0}
  • id: 15704735
    {'hecke_orbit_code': 5703733348164, 'n': 677, 'trace_an': 0}
  • id: 15704736
    {'hecke_orbit_code': 5703733348164, 'n': 683, 'trace_an': 0}
  • id: 15704737
    {'hecke_orbit_code': 5703733348164, 'n': 691, 'trace_an': -7}
  • id: 15704738
    {'hecke_orbit_code': 5703733348164, 'n': 701, 'trace_an': 0}
  • id: 15704739
    {'hecke_orbit_code': 5703733348164, 'n': 709, 'trace_an': -5}
  • id: 15704740
    {'hecke_orbit_code': 5703733348164, 'n': 719, 'trace_an': 0}
  • id: 15704741
    {'hecke_orbit_code': 5703733348164, 'n': 727, 'trace_an': 0}
  • id: 15704742
    {'hecke_orbit_code': 5703733348164, 'n': 729, 'trace_an': -2}
  • id: 15704743
    {'hecke_orbit_code': 5703733348164, 'n': 733, 'trace_an': 0}
  • id: 15704744
    {'hecke_orbit_code': 5703733348164, 'n': 739, 'trace_an': 4}
  • id: 15704745
    {'hecke_orbit_code': 5703733348164, 'n': 743, 'trace_an': 4}
  • id: 15704746
    {'hecke_orbit_code': 5703733348164, 'n': 751, 'trace_an': 7}
  • id: 15704747
    {'hecke_orbit_code': 5703733348164, 'n': 757, 'trace_an': 0}
  • id: 15704748
    {'hecke_orbit_code': 5703733348164, 'n': 761, 'trace_an': 0}
  • id: 15704749
    {'hecke_orbit_code': 5703733348164, 'n': 769, 'trace_an': 1}
  • id: 15704750
    {'hecke_orbit_code': 5703733348164, 'n': 773, 'trace_an': 0}
  • id: 15704751
    {'hecke_orbit_code': 5703733348164, 'n': 787, 'trace_an': 0}
  • id: 15704752
    {'hecke_orbit_code': 5703733348164, 'n': 797, 'trace_an': -7}
  • id: 15704753
    {'hecke_orbit_code': 5703733348164, 'n': 809, 'trace_an': 0}
  • id: 15704754
    {'hecke_orbit_code': 5703733348164, 'n': 811, 'trace_an': 0}
  • id: 15704755
    {'hecke_orbit_code': 5703733348164, 'n': 821, 'trace_an': 0}
  • id: 15704756
    {'hecke_orbit_code': 5703733348164, 'n': 823, 'trace_an': 0}
  • id: 15704757
    {'hecke_orbit_code': 5703733348164, 'n': 827, 'trace_an': -6}
  • id: 15704758
    {'hecke_orbit_code': 5703733348164, 'n': 829, 'trace_an': 0}
  • id: 15704759
    {'hecke_orbit_code': 5703733348164, 'n': 839, 'trace_an': 0}
  • id: 15704760
    {'hecke_orbit_code': 5703733348164, 'n': 841, 'trace_an': 2}
  • id: 15704761
    {'hecke_orbit_code': 5703733348164, 'n': 853, 'trace_an': 0}
  • id: 15704762
    {'hecke_orbit_code': 5703733348164, 'n': 857, 'trace_an': -3}
  • id: 15704763
    {'hecke_orbit_code': 5703733348164, 'n': 859, 'trace_an': 1}
  • id: 15704764
    {'hecke_orbit_code': 5703733348164, 'n': 863, 'trace_an': -4}
  • id: 15704765
    {'hecke_orbit_code': 5703733348164, 'n': 877, 'trace_an': 0}
  • id: 15704766
    {'hecke_orbit_code': 5703733348164, 'n': 881, 'trace_an': 0}
  • id: 15704767
    {'hecke_orbit_code': 5703733348164, 'n': 883, 'trace_an': 0}
  • id: 15704768
    {'hecke_orbit_code': 5703733348164, 'n': 887, 'trace_an': 0}
  • id: 15704769
    {'hecke_orbit_code': 5703733348164, 'n': 907, 'trace_an': 0}
  • id: 15704770
    {'hecke_orbit_code': 5703733348164, 'n': 911, 'trace_an': 0}
  • id: 15704771
    {'hecke_orbit_code': 5703733348164, 'n': 919, 'trace_an': 3}
  • id: 15704772
    {'hecke_orbit_code': 5703733348164, 'n': 929, 'trace_an': 0}
  • id: 15704773
    {'hecke_orbit_code': 5703733348164, 'n': 937, 'trace_an': 0}
  • id: 15704774
    {'hecke_orbit_code': 5703733348164, 'n': 941, 'trace_an': 0}
  • id: 15704775
    {'hecke_orbit_code': 5703733348164, 'n': 947, 'trace_an': -6}
  • id: 15704776
    {'hecke_orbit_code': 5703733348164, 'n': 953, 'trace_an': 0}
  • id: 15704777
    {'hecke_orbit_code': 5703733348164, 'n': 961, 'trace_an': -2}
  • id: 15704778
    {'hecke_orbit_code': 5703733348164, 'n': 967, 'trace_an': 0}
  • id: 15704779
    {'hecke_orbit_code': 5703733348164, 'n': 971, 'trace_an': 0}
  • id: 15704780
    {'hecke_orbit_code': 5703733348164, 'n': 977, 'trace_an': -3}
  • id: 15704781
    {'hecke_orbit_code': 5703733348164, 'n': 983, 'trace_an': 1}
  • id: 15704782
    {'hecke_orbit_code': 5703733348164, 'n': 991, 'trace_an': -2}
  • id: 15704783
    {'hecke_orbit_code': 5703733348164, 'n': 997, 'trace_an': 0}