Newform data - 1100.1.x.a

Formats: - HTML - YAML - JSON - 2026-07-27T18:25:07.515222

• 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': 1100, 'analytic_conductor': 0.5489715138963026, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 275, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 10, 'char_parity': -1, 'char_values': [1100, 10, [551, 177, 101], [10, 6, 5]], 'cm_discs': [-11], 'conrey_index': 21, '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': [], 'hecke_orbit': 1, 'hecke_orbit_code': 1580564743244, 'hecke_ring_generator_nbound': 9, '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, 11, 2, -1, 2, -11], [1, 1, 25, 4, 1, 5, 0], [1, 1, 275, 22, -1, 10, 0]], 'is_cm': True, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '1100.1.x.a', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'minimal_twist': '1100.1.x.a', 'nf_label': '8.0.1265625.1', 'prim_orbit_index': 22, 'projective_field': [-70876, 10360, -271800, -24275, -41150, -47279, -56480, -19830, -5330, -575, -488, -110, -30, 5, 0, 1], 'projective_image': 'D15', 'projective_image_type': 'Dn', 'qexp_display': 'q+(\\zeta_{30}^{2}+\\zeta_{30}^{4})q^{3}-\\zeta_{30}^{5}q^{5}+(\\zeta_{30}^{4}+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-11], 'self_twist_type': 1, 'space_label': '1100.1.x', 'trace_display': [0, 2, -4, 0], 'trace_hash': 216951974768364737, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.021', 'prec': 20}, {'__RealLiteral__': 0, 'data': '7.774', 'prec': 17}, {'__RealLiteral__': 0, 'data': '24.977', 'prec': 20}, {'__RealLiteral__': 0, 'data': '594.058', 'prec': 24}, {'__RealLiteral__': 0, 'data': '7045.981', 'prec': 27}, {'__RealLiteral__': 0, 'data': '119891.568', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.502', 'prec': 17}, 'traces': [8, 0, 2, 0, -4, 0, 0, 0, 0, 0, -2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, -7, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 8, 0, 0, 0, -4, 0, 1, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -3, 0, -7, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -12, 0, 0, 0, 2, 0, 10, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 3, 0, 2, 0, -1, 0, 0, 0, 0, 0, -2, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 2, 0, 0, 0, -6, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -1, 0, 2, 0, 4, 0, 0, 0, 6, 0, -1, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -2, 0, -3, 0, 2, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[[1, 0]], [], [[1, 2], [1, 4]], [], [[-1, 5]], [], [], [], [[1, 4], [1, 6], [1, 8]], [], [[-1, 9]], [], [], [], [[-1, 7], [-1, 9]], [], [], [], [], [], [], [], [[-1, 1], [1, 2]], [], [[1, 10]], [], [[1, 6], [1, 8], [1, 10], [1, 12]], [], [], [], [[-1, 1], [1, 8]], [], [[-1, 11], [-1, 13]], [], [], [], [[-1, 6]], [], [], [], [], [], [], [], [[-1, 9], [-1, 11], [-1, 13]], [], [[-2, 3]], [], [[1, 0]], [], [], [], [[-1, 9], [1, 12]], [], [[1, 14]], [], [], [], [[-1, 5], [-1, 7]], [], [], [], [], [], [], [], [[1, 10], [1, 14]], [], [[-1, 3], [1, 4], [-1, 5], [1, 6]], [], [[1, 2], [1, 4]], [], [], [], [[1, 12], [1, 14]], [], [], [], [], [], [[-1, 1], [1, 8], [1, 10], [1, 12], [1, 14]], [], [], [], [], [], [], [], [[-1, 7], [-1, 11]], [], [], [], [[-1, 3], [-1, 5], [1, 10], [1, 12]], [], [], [], [[-1, 7], [1, 14]], [], [[1, 0], [1, 2], [-1, 13]], []], 'ap': [[], [[1, 2], [1, 4]], [[-1, 5]], [], [[-1, 9]], [], [], [], [[-1, 1], [1, 2]], [], [[-1, 1], [1, 8]], [[-1, 6]], [], [], [[-2, 3]], [[-1, 9], [1, 12]], [[-1, 5], [-1, 7]], [], [[1, 10], [1, 14]], [[1, 2], [1, 4]], [], [], [], [[-1, 7], [-1, 11]], [[-1, 7], [1, 14]], [], [[1, 0], [1, 6]], [], [], [[-1, 13], [1, 14]], [], [], [[1, 4], [1, 8]], [], [], [], [[1, 2], [-1, 13]], [[1, 0], [1, 12]], [], [], [[1, 10], [-1, 11]], [[-1, 12]], [[-1, 13], [1, 14]], [], [], [[-1, 3], [1, 12]], [], [[1, 8], [1, 10]], [], [[1, 10], [-1, 11]], [], [], [], [[1, 4], [-1, 11]], [[-1, 3], [1, 12]], [], [[1, 0], [-1, 9]], [], [], [], [], [], [], [[1, 6], [1, 12]], [[-1, 13], [1, 14]], [[-1, 1], [1, 8]], [[1, 4], [-1, 5]], [], [], [], [[1, 3]], [], [[1, 4], [-1, 5]], [], [[1, 3]], [[-1, 1], [1, 8]], [[-1, 5], [-1, 13]], [[1, 0], [1, 6]], [[1, 6], [-1, 9]], [], [[-1, 3], [1, 6]], [[1, 0], [1, 6]], [], [[-1, 12]], [], [[-1, 1], [1, 14]], [[-1, 7], [1, 8]], [], [], [[1, 4], [1, 8]], [[-1, 12]], [], [[-1, 6]], [], [[1, 6], [-1, 9]], [], [[-1, 13], [1, 14]], [[1, 10], [-1, 11]], [], [], [], [], [], [], [], [[-1, 5], [-1, 13]], [[1, 0], [1, 12]], [], [[1, 6], [-1, 9]], [], [], [], [[-1, 3], [1, 6]], [[-1, 1], [1, 8]], [[1, 10], [1, 14]], [[1, 2], [1, 10]], [[1, 4], [-1, 11]], [[1, 10], [-1, 11]], [[-1, 7], [1, 14]], [], [[-1, 7], [-1, 11]], [], [], [[1, 0], [-1, 9]], [[-1, 13], [1, 14]], [], [[1, 2], [1, 10]], [[1, 10], [1, 14]], [[-1, 5], [-1, 13]], [], [], [], [[-1, 7], [1, 8]], [[1, 6], [-1, 9]], [], [], [[1, 0], [-1, 3]], [], [[-1, 1], [-1, 5]], [], [], [], [[-1, 5], [-1, 13]], [], [[1, 2], [1, 4]], [[-1, 7], [-1, 11]], [], [], [[-1, 5], [-1, 7]], [[1, 0], [1, 12]], [], [[-1, 11], [-1, 13]], [[-1, 3], [1, 6]], [], [[2, 0]], [[1, 6], [1, 12]], [], [[1, 0], [1, 6]], [], [], [[-1, 7], [1, 14]], [], [], [[-1, 7], [1, 14]], [[1, 9]], [[1, 10], [1, 14]], [[1, 0], [1, 12]], [], [], [[-1, 5], [-1, 7]], [], [[-2, 3]], [], [], [[-1, 5], [-1, 13]], [[-1, 1], [1, 14]], [], [[1, 8], [1, 10]], [], [], [[-1, 3], [-1, 9]], [], [[1, 4], [-1, 11]], [], [[-1, 1], [-1, 5]], [[-1, 3], [-1, 9]], [], [[-2, 9]], [], [], [[-1, 1], [-1, 5]], [], [[-1, 1], [-1, 5]], [[-1, 3], [1, 6]], [], [[-1, 0]], [], [[-1, 6]], [], [], [], [], [[-1, 3], [-1, 9]], [], [[1, 4], [1, 8]], [[1, 8], [1, 10]], [[1, 2], [1, 4]], [], [], [[-1, 3], [-1, 9]], [], [[-1, 1], [1, 14]], [[-1, 7], [1, 14]], [[1, 6], [-1, 9]], [], [[-1, 1], [-1, 5]], [], [], [[1, 0], [-1, 9]], [[1, 9]], [], [], [[-1, 6]], [[-1, 5], [-1, 13]], [], [], [[2, 12]], [[1, 0], [-1, 3]], [], [], [[1, 2], [1, 4]], [], [], [], [[-1, 12]], [], [[-1, 5], [-1, 13]], [], [[-1, 7], [1, 8]], [[-1, 7], [-1, 11]], [[-1, 1], [1, 2]], [], [[-1, 3], [1, 12]], [[1, 4], [-1, 11]], [], [], [[-1, 3], [1, 6]], [[1, 0], [1, 6]], [], [], [], [], [[-1, 7], [1, 8]], [[1, 0], [1, 12]], [], [], [[-1, 9], [1, 12]], [], [[1, 2], [1, 10]], [], [], [], [], [], [[1, 0], [1, 6]], [[-1, 3], [1, 12]], [[-1, 13], [1, 14]], [[1, 3]], [], [], [[1, 4], [1, 8]], [[-1, 7], [1, 14]], [[-1, 9], [1, 12]], [], [], [[-1, 12]], [[1, 2], [1, 10]], [], [], [], [], [[1, 10], [1, 14]], [], [], [], [[1, 3]], [[1, 6], [1, 12]], [], [[1, 2], [1, 4]], [], [[-1, 0]], [[-1, 3], [1, 12]], [], [], [], [], [[1, 2], [-1, 13]], [[-1, 7], [-1, 11]], [], [], [], [], []], 'char_orbit_index': 24, 'field_poly': [1, -1, 0, 1, -1, 1, 0, -1, 1], 'hecke_orbit_code': 1580564743244, 'hecke_ring_character_values': [[551, [[1, 0]]], [177, [[-1, 3]]], [101, [[-1, 0]]]], 'hecke_ring_cyclotomic_generator': 30, 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '1100.1.x.a', 'level': 1100, 'maxp': 1999, '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': 1100, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.5489715138963026, 'char_conductor': 275, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 24, 'char_orbit_label': 'x', 'char_order': 10, 'char_parity': -1, 'char_values': [1100, 10, [551, 177, 101], [10, 6, 5]], 'conrey_index': 21, 'cusp_dim': 20, 'dihedral_dim': 8, 'dim': 8, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_orbit_code': 1580564743244, 'hecke_orbit_dims': [8], 'label': '1100.1.x', 'level': 1100, '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, 5, 11], 'level_radical': 110, 'mf_dim': 44, 'mf_new_dim': 8, 'num_forms': 1, 'prim_orbit_index': 22, 'relative_dim': 2, 's4_dim': 0, 'sturm_bound': 180, 'trace_bound': 0, 'trace_display': [0, 2, -4, 0], 'traces': [8, 0, 2, 0, -4, 0, 0, 0, 0, 0, -2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, -7, 0, 0, 0, 2, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 8, 0, 0, 0, -4, 0, 1, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -3, 0, -7, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -12, 0, 0, 0, 2, 0, 10, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 3, 0, 2, 0, -1, 0, 0, 0, 0, 0, -2, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 0, 2, 0, 0, 0, -6, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -1, 0, 2, 0, 4, 0, 0, 0, 6, 0, -1, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -2, 0, -3, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -4, 0, -2, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -10, 0, -4, 0, 0, 0, 0, 0, 2, 0, -3, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 2, 0, 8, 0, 6, 0, 0, 0, 0, 0, 1, 0, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, -2, 0, 0, 0, -6, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, -4, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, 0, 5, 0, 9, 0, 0, 0, 8, 0, -3, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 2, 0, -1, 0, 0, 0, 0, 0, -2, 0, -3, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, -4, 0, 0, 0, 9, 0, -8, 0, 0, 0, -7, 0, 0, 0, 0, 0, 0, 0, -4, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, -1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 6, 0, 2, 0, 0, 0, 8, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, -1, 0, 2, 0, 4, 0, 0, 0, 0, 0, -5, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, -3, 0, -4, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 8, 0, -2, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 8, 0, -1, 0, -3, 0, 0, 0, 0, 0, -4, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, -4, 0, 0, 0, -5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 2, 0, -3, 0, 0, 0, -4, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -10, 0, -3, 0, 2, 0, 0, 0, -3, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -7, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 6, 0, -1, 0, 8, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, -3, 0, 0, 0, -7, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -3, 0, -7, 0, 0, 0, 0, 0, -1, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 8, 0, 0, 0, -4, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 6, 0, -1, 0, 0, 0, 0, 0, 2, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, -3, 0, 0, 0, 20, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, -3, 0, -1, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, -3, 0, 2, 0, -2, 0, 0, 0, 1, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 0, 0, -3, 0, 0, 0, 6, 0, 0, 0, 2, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 2, 0, -4, 0, 1, 0, 0, 0, 0, 0, -3, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, 16, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0, -5, 0, 6, 0, 0, 0, -1, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, -12, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 2, 0, -3, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, 0, 6, 0, -2, 0, 2, 0, 0, 0, 2, 0], 'weight': 1, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 646358
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 24, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1100.1.x.a', 'source_level': 1100, 'target_char_orbit': 24, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1100.1.x.a', 'target_level': 1100, 'twist_class_label': '1100.1.x.a', 'twist_class_level': 1100, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 1}
  • id: 646359
    {'conductor': 11, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -11, 'source_char_orbit': 24, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1100.1.x.a', 'source_level': 1100, 'target_char_orbit': 24, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1100.1.x.a', 'target_level': 1100, 'twist_class_label': '1100.1.x.a', 'twist_class_level': 1100, 'twisting_char_label': '11.b', 'twisting_char_orbit': 2, 'weight': 1}
  • id: 646360
    {'conductor': 25, 'degree': 4, 'multiplicity': 1, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1100.1.x.a', 'source_level': 1100, 'target_char_orbit': 24, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1100.1.x.a', 'target_level': 1100, 'twist_class_label': '1100.1.x.a', 'twist_class_level': 1100, 'twisting_char_label': '25.d', 'twisting_char_orbit': 4, 'weight': 1}
  • id: 646361
    {'conductor': 275, 'degree': 4, 'multiplicity': 1, 'order': 10, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 24, 'source_dim': 8, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '1100.1.x.a', 'source_level': 1100, 'target_char_orbit': 24, 'target_dim': 8, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '1100.1.x.a', 'target_level': 1100, 'twist_class_label': '1100.1.x.a', 'twist_class_level': 1100, 'twisting_char_label': '275.v', 'twisting_char_orbit': 22, 'weight': 1}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1684075
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 2}
  • id: 1684076
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 3}
  • id: 1684077
    {'charpoly_factorization': [[[1, 1, 1], 4]], 'hecke_orbit_code': 1580564743244, 'p': 5}
  • id: 1684078
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 7}
  • id: 1684079
    {'charpoly_factorization': [[[1, 1, 1, 1, 1], 2]], 'hecke_orbit_code': 1580564743244, 'p': 11}
  • id: 1684080
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 13}
  • id: 1684081
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 17}
  • id: 1684082
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 19}
  • id: 1684083
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 23}
  • id: 1684084
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 29}
  • id: 1684085
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 31}
  • id: 1684086
    {'charpoly_factorization': [[[1, -1, 1, -1, 1], 2]], 'hecke_orbit_code': 1580564743244, 'p': 37}
  • id: 1684087
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 41}
  • id: 1684088
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 43}
  • id: 1684089
    {'charpoly_factorization': [[[16, 8, 4, 2, 1], 2]], 'hecke_orbit_code': 1580564743244, 'p': 47}
  • id: 1684090
    {'charpoly_factorization': [[[1, 3, 4, 2, 1], 2]], 'hecke_orbit_code': 1580564743244, 'p': 53}
  • id: 1684091
    {'charpoly_factorization': [[[1, -7, 18, 11, 15, 11, 8, 3, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 59}
  • id: 1684092
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 61}
  • id: 1684093
    {'charpoly_factorization': [[[1, -7, 18, 11, 15, 11, 8, 3, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 67}
  • id: 1684094
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 71}
  • id: 1684095
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 73}
  • id: 1684096
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 79}
  • id: 1684097
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 1580564743244, 'p': 83}
  • id: 1684098
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, 'p': 89}
  • id: 1684099
    {'charpoly_factorization': [[[1, 3, 23, 1, 0, 1, 3, -2, 1], 1]], 'hecke_orbit_code': 1580564743244, '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': 24, 'hecke_orbit': 1, 'label': '1100.1.x.a', 'level': 1100, '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

  
  Showing the first 100 of 258 matching records in this table.
  • id: 13271070
    {'hecke_orbit_code': 1580564743244, 'n': 1, 'trace_an': 8}
  • id: 13271071
    {'hecke_orbit_code': 1580564743244, 'n': 2, 'trace_an': 0}
  • id: 13271072
    {'hecke_orbit_code': 1580564743244, 'n': 3, 'trace_an': 2}
  • id: 13271073
    {'hecke_orbit_code': 1580564743244, 'n': 4, 'trace_an': 0}
  • id: 13271074
    {'hecke_orbit_code': 1580564743244, 'n': 5, 'trace_an': -4}
  • id: 13271075
    {'hecke_orbit_code': 1580564743244, 'n': 6, 'trace_an': 0}
  • id: 13271076
    {'hecke_orbit_code': 1580564743244, 'n': 7, 'trace_an': 0}
  • id: 13271077
    {'hecke_orbit_code': 1580564743244, 'n': 8, 'trace_an': 0}
  • id: 13271078
    {'hecke_orbit_code': 1580564743244, 'n': 9, 'trace_an': 0}
  • id: 13271079
    {'hecke_orbit_code': 1580564743244, 'n': 10, 'trace_an': 0}
  • id: 13271080
    {'hecke_orbit_code': 1580564743244, 'n': 11, 'trace_an': -2}
  • id: 13271081
    {'hecke_orbit_code': 1580564743244, 'n': 12, 'trace_an': 0}
  • id: 13271082
    {'hecke_orbit_code': 1580564743244, 'n': 13, 'trace_an': 0}
  • id: 13271083
    {'hecke_orbit_code': 1580564743244, 'n': 14, 'trace_an': 0}
  • id: 13271084
    {'hecke_orbit_code': 1580564743244, 'n': 15, 'trace_an': -1}
  • id: 13271085
    {'hecke_orbit_code': 1580564743244, 'n': 16, 'trace_an': 0}
  • id: 13271086
    {'hecke_orbit_code': 1580564743244, 'n': 17, 'trace_an': 0}
  • id: 13271087
    {'hecke_orbit_code': 1580564743244, 'n': 18, 'trace_an': 0}
  • id: 13271088
    {'hecke_orbit_code': 1580564743244, 'n': 19, 'trace_an': 0}
  • id: 13271089
    {'hecke_orbit_code': 1580564743244, 'n': 20, 'trace_an': 0}
  • id: 13271090
    {'hecke_orbit_code': 1580564743244, 'n': 21, 'trace_an': 0}
  • id: 13271091
    {'hecke_orbit_code': 1580564743244, 'n': 22, 'trace_an': 0}
  • id: 13271092
    {'hecke_orbit_code': 1580564743244, 'n': 23, 'trace_an': 2}
  • id: 13271093
    {'hecke_orbit_code': 1580564743244, 'n': 24, 'trace_an': 0}
  • id: 13271094
    {'hecke_orbit_code': 1580564743244, 'n': 25, 'trace_an': -4}
  • id: 13271095
    {'hecke_orbit_code': 1580564743244, 'n': 26, 'trace_an': 0}
  • id: 13271096
    {'hecke_orbit_code': 1580564743244, 'n': 27, 'trace_an': -7}
  • id: 13271097
    {'hecke_orbit_code': 1580564743244, 'n': 28, 'trace_an': 0}
  • id: 13271098
    {'hecke_orbit_code': 1580564743244, 'n': 29, 'trace_an': 0}
  • id: 13271099
    {'hecke_orbit_code': 1580564743244, 'n': 30, 'trace_an': 0}
  • id: 13271100
    {'hecke_orbit_code': 1580564743244, 'n': 31, 'trace_an': 2}
  • id: 13271101
    {'hecke_orbit_code': 1580564743244, 'n': 32, 'trace_an': 0}
  • id: 13271102
    {'hecke_orbit_code': 1580564743244, 'n': 33, 'trace_an': 2}
  • id: 13271103
    {'hecke_orbit_code': 1580564743244, 'n': 34, 'trace_an': 0}
  • id: 13271104
    {'hecke_orbit_code': 1580564743244, 'n': 35, 'trace_an': 0}
  • id: 13271105
    {'hecke_orbit_code': 1580564743244, 'n': 36, 'trace_an': 0}
  • id: 13271106
    {'hecke_orbit_code': 1580564743244, 'n': 37, 'trace_an': 2}
  • id: 13271107
    {'hecke_orbit_code': 1580564743244, 'n': 38, 'trace_an': 0}
  • id: 13271108
    {'hecke_orbit_code': 1580564743244, 'n': 39, 'trace_an': 0}
  • id: 13271109
    {'hecke_orbit_code': 1580564743244, 'n': 40, 'trace_an': 0}
  • id: 13271110
    {'hecke_orbit_code': 1580564743244, 'n': 41, 'trace_an': 0}
  • id: 13271111
    {'hecke_orbit_code': 1580564743244, 'n': 42, 'trace_an': 0}
  • id: 13271112
    {'hecke_orbit_code': 1580564743244, 'n': 43, 'trace_an': 0}
  • id: 13271113
    {'hecke_orbit_code': 1580564743244, 'n': 44, 'trace_an': 0}
  • id: 13271114
    {'hecke_orbit_code': 1580564743244, 'n': 45, 'trace_an': 0}
  • id: 13271115
    {'hecke_orbit_code': 1580564743244, 'n': 46, 'trace_an': 0}
  • id: 13271116
    {'hecke_orbit_code': 1580564743244, 'n': 47, 'trace_an': -4}
  • id: 13271117
    {'hecke_orbit_code': 1580564743244, 'n': 48, 'trace_an': 0}
  • id: 13271118
    {'hecke_orbit_code': 1580564743244, 'n': 49, 'trace_an': 8}
  • id: 13271119
    {'hecke_orbit_code': 1580564743244, 'n': 50, 'trace_an': 0}
  • id: 13271120
    {'hecke_orbit_code': 1580564743244, 'n': 51, 'trace_an': 0}
  • id: 13271121
    {'hecke_orbit_code': 1580564743244, 'n': 52, 'trace_an': 0}
  • id: 13271122
    {'hecke_orbit_code': 1580564743244, 'n': 53, 'trace_an': -4}
  • id: 13271123
    {'hecke_orbit_code': 1580564743244, 'n': 54, 'trace_an': 0}
  • id: 13271124
    {'hecke_orbit_code': 1580564743244, 'n': 55, 'trace_an': 1}
  • id: 13271125
    {'hecke_orbit_code': 1580564743244, 'n': 56, 'trace_an': 0}
  • id: 13271126
    {'hecke_orbit_code': 1580564743244, 'n': 57, 'trace_an': 0}
  • id: 13271127
    {'hecke_orbit_code': 1580564743244, 'n': 58, 'trace_an': 0}
  • id: 13271128
    {'hecke_orbit_code': 1580564743244, 'n': 59, 'trace_an': -3}
  • id: 13271129
    {'hecke_orbit_code': 1580564743244, 'n': 60, 'trace_an': 0}
  • id: 13271130
    {'hecke_orbit_code': 1580564743244, 'n': 61, 'trace_an': 0}
  • id: 13271131
    {'hecke_orbit_code': 1580564743244, 'n': 62, 'trace_an': 0}
  • id: 13271132
    {'hecke_orbit_code': 1580564743244, 'n': 63, 'trace_an': 0}
  • id: 13271133
    {'hecke_orbit_code': 1580564743244, 'n': 64, 'trace_an': 0}
  • id: 13271134
    {'hecke_orbit_code': 1580564743244, 'n': 65, 'trace_an': 0}
  • id: 13271135
    {'hecke_orbit_code': 1580564743244, 'n': 66, 'trace_an': 0}
  • id: 13271136
    {'hecke_orbit_code': 1580564743244, 'n': 67, 'trace_an': -3}
  • id: 13271137
    {'hecke_orbit_code': 1580564743244, 'n': 68, 'trace_an': 0}
  • id: 13271138
    {'hecke_orbit_code': 1580564743244, 'n': 69, 'trace_an': -7}
  • id: 13271139
    {'hecke_orbit_code': 1580564743244, 'n': 70, 'trace_an': 0}
  • id: 13271140
    {'hecke_orbit_code': 1580564743244, 'n': 71, 'trace_an': 2}
  • id: 13271141
    {'hecke_orbit_code': 1580564743244, 'n': 72, 'trace_an': 0}
  • id: 13271142
    {'hecke_orbit_code': 1580564743244, 'n': 73, 'trace_an': 0}
  • id: 13271143
    {'hecke_orbit_code': 1580564743244, 'n': 74, 'trace_an': 0}
  • id: 13271144
    {'hecke_orbit_code': 1580564743244, 'n': 75, 'trace_an': -1}
  • id: 13271145
    {'hecke_orbit_code': 1580564743244, 'n': 76, 'trace_an': 0}
  • id: 13271146
    {'hecke_orbit_code': 1580564743244, 'n': 77, 'trace_an': 0}
  • id: 13271147
    {'hecke_orbit_code': 1580564743244, 'n': 78, 'trace_an': 0}
  • id: 13271148
    {'hecke_orbit_code': 1580564743244, 'n': 79, 'trace_an': 0}
  • id: 13271149
    {'hecke_orbit_code': 1580564743244, 'n': 80, 'trace_an': 0}
  • id: 13271150
    {'hecke_orbit_code': 1580564743244, 'n': 81, 'trace_an': -3}
  • id: 13271151
    {'hecke_orbit_code': 1580564743244, 'n': 82, 'trace_an': 0}
  • id: 13271152
    {'hecke_orbit_code': 1580564743244, 'n': 83, 'trace_an': 0}
  • id: 13271153
    {'hecke_orbit_code': 1580564743244, 'n': 84, 'trace_an': 0}
  • id: 13271154
    {'hecke_orbit_code': 1580564743244, 'n': 85, 'trace_an': 0}
  • id: 13271155
    {'hecke_orbit_code': 1580564743244, 'n': 86, 'trace_an': 0}
  • id: 13271156
    {'hecke_orbit_code': 1580564743244, 'n': 87, 'trace_an': 0}
  • id: 13271157
    {'hecke_orbit_code': 1580564743244, 'n': 88, 'trace_an': 0}
  • id: 13271158
    {'hecke_orbit_code': 1580564743244, 'n': 89, 'trace_an': 2}
  • id: 13271159
    {'hecke_orbit_code': 1580564743244, 'n': 90, 'trace_an': 0}
  • id: 13271160
    {'hecke_orbit_code': 1580564743244, 'n': 91, 'trace_an': 0}
  • id: 13271161
    {'hecke_orbit_code': 1580564743244, 'n': 92, 'trace_an': 0}
  • id: 13271162
    {'hecke_orbit_code': 1580564743244, 'n': 93, 'trace_an': -12}
  • id: 13271163
    {'hecke_orbit_code': 1580564743244, 'n': 94, 'trace_an': 0}
  • id: 13271164
    {'hecke_orbit_code': 1580564743244, 'n': 95, 'trace_an': 0}
  • id: 13271165
    {'hecke_orbit_code': 1580564743244, 'n': 96, 'trace_an': 0}
  • id: 13271166
    {'hecke_orbit_code': 1580564743244, 'n': 97, 'trace_an': 2}
  • id: 13271167
    {'hecke_orbit_code': 1580564743244, 'n': 98, 'trace_an': 0}
  • id: 13271168
    {'hecke_orbit_code': 1580564743244, 'n': 99, 'trace_an': 10}
  • id: 13271169
    {'hecke_orbit_code': 1580564743244, 'n': 100, 'trace_an': 0}