Newform data - 256.8.a.q

Formats: - HTML - YAML - JSON - 2024-04-19T12:25:23.459230

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 16384, 'analytic_conductor': 79.97056652393518, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1]], 'atkin_lehner_string': '-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [256, 1, [255, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 6, 'field_disc': 24699249520281536, 'field_disc_factorization': [[2, 6], [239, 1], [677, 2], [1877, 2]], 'field_poly': [-15296, 0, 4820, 0, -163, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-4610229696, 0, 13205808, 0, -8020, 0, 1]], [5, [-412405245440000, 0, 19577926400, 0, -254032, 0, 1]], [7, [-441929216, -1048384, 344, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594172145920, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 134217728, 'hecke_ring_index_factorization': [[2, 27]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '256.8.a.q', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '8.8.b.a', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta _{1}q^{3}+(\\beta _{1}+\\beta _{2})q^{5}+(-115+\\beta _{4}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '256.8.a', 'trace_display': [0, 0, 0, -688], 'trace_hash': 1987935925795688822, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.452', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '152.589', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6076.668', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [6, 0, 0, 0, 0, 0, -688, 0, 2918, 0, 0, 0, 0, 0, -17872, 0, 1452, 0, 0, 0, 0, 0, -1296, 0, 39314, 0, 0, 0, 0, 0, 89280, 0, 53880, 0, 0, 0, 0, 0, -328208, 0, -521244, 0, 0, 0, 0, 0, -1566432, 0, -511050, 0, 0, 0, 0, 0, -3270256, 0, 1889896, 0, 0, 0, 0, 0, -5776816, 0, 1416480, 0, 0, 0, 0, 0, -7597104, 0, -2089564, 0, 0, 0, 0, 0, -16015904, 0, -723058, 0, 0, 0, 0, 0, -37453776, 0, -2169084, 0, 0, 0, 0, 0, -48537936, 0, -1088308, 0, 0, 0, 0, 0, -66477296, 0, 6425216, 0, 0, 0, 0, 0, -105923152, 0, -4629396, 0, 0, 0, 0, 0, -101313120, 0, -12335018, 0, 0, 0, 0, 0, -120534272, 0, 8599288, 0, 0, 0, 0, 0, -184124128, 0, 42304548, 0, 0, 0, 0, 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

  
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[1, 120, 600, 600, 25, 75], 'hecke_ring_inverse_denominators': [1, 512, 256, 512, 256, 512], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, -8, -1, 1, 0, 0], [13904, 0, 0, 0, 13, 3], [0, 1528, -425, 105, 0, 0], [1443856, 0, 0, 0, 1983, 273], [0, 243592, -67207, 12487, 0, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, -5468, 0, 171, 0, -1], [0, -101516, 0, 5367, 0, -37], [0, -13036, 0, 12207, 0, -77], [-5581, 0, -728, 0, 8, 0], [-275047, 0, 15864, 0, -104, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '256.8.a.q', 'level': 256, 'maxp': 2999, 'weight': 8}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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

  
  {'AL_dims': [[[[2, -1]], 26, 9], [[[2, 1]], 28, 9]], 'ALdims': [28, 26], 'Nk2': 16384, 'analytic_conductor': 79.97056652393518, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [256, 1, [255, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 212, 'dim': 54, 'eis_dim': 24, 'eis_new_dim': 4, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 134217984, 'hecke_orbit_dims': [1, 1, 1, 1, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 6, 6], 'label': '256.8.a', 'level': 256, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 236, 'mf_new_dim': 58, 'num_forms': 18, 'plus_dim': 28, 'prim_orbit_index': 1, 'relative_dim': 54, 'sturm_bound': 256, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [54, 0, 0, 0, 0, 0, 0, 0, 36454, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 718754, 0, 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-2964824744088, 0, 0, 0, 0, 0, 0, 0, 723290250856, 0, 0, 0, 0, 0, 0, 0, -1358595556784, 0, 0, 0, 0, 0, 0, 0, 2710528277760, 0, 0, 0, 0, 0, 0, 0, 207690594720, 0, 0, 0, 0, 0, 0, 0, 2378309095544, 0, 0, 0, 0, 0, 0, 0, -2578109498112, 0, 0, 0, 0, 0, 0, 0, -1947434896572, 0, 0, 0, 0, 0, 0, 0, -3288673671776, 0, 0, 0, 0, 0, 0, 0, 4815075157876, 0, 0, 0, 0, 0, 0, 0, 4150957886998, 0, 0, 0, 0, 0, 0, 0, -2358606550800, 0, 0, 0, 0, 0, 0, 0, -5757017565508, 0, 0, 0, 0, 0, 0, 0, -5075586484012, 0, 0, 0, 0, 0, 0, 0, -1069810864984, 0, 0, 0, 0, 0, 0, 0, -5693349171052, 0, 0, 0, 0, 0, 0, 0, 3333708298240, 0, 0, 0, 0, 0, 0, 0, -10574936619520, 0, 0, 0, 0, 0, 0, 0, 4697004302528, 0, 0, 0, 0, 0, 0, 0, 2141502726868, 0, 0, 0, 0, 0, 0, 0, 8909285299944, 0, 0, 0, 0, 0, 0, 0, 407883661944, 0, 0, 0, 0, 0, 0, 0, 3821689107368, 0, 0, 0, 0, 0, 0, 0, 9109126234368, 0, 0, 0, 0, 0, 0, 0, -7025703932160, 0, 0, 0, 0, 0, 0, 0, 2318083752100, 0, 0, 0, 0, 0, 0, 0, 7877179048276, 0, 0, 0, 0, 0, 0, 0, -5364378120648, 0, 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0, 0, 9789472517432, 0, 0, 0, 0, 0, 0, 0, -4590304040704, 0, 0, 0, 0, 0, 0, 0, -12714259218524, 0, 0, 0, 0, 0, 0, 0, 4225080648736, 0, 0, 0, 0, 0, 0, 0, 13356706160056, 0, 0, 0, 0, 0, 0, 0, -1685073480004, 0, 0, 0, 0, 0, 0, 0, -258699789886, 0, 0, 0, 0, 0, 0, 0, 10163135616516, 0, 0, 0, 0, 0, 0, 0, -10624583146268, 0, 0, 0, 0, 0, 0, 0, -5524626288244, 0, 0, 0, 0, 0, 0, 0, 13981904308088, 0, 0, 0, 0, 0, 0, 0, -2215748944128, 0, 0, 0, 0, 0, 0, 0, -11802765206572, 0, 0, 0, 0, 0, 0, 0, 14227946342400, 0, 0, 0, 0, 0, 0, 0, 22139333250132, 0, 0, 0, 0, 0, 0, 0, -2157010793048, 0, 0, 0, 0, 0, 0, 0, 1652210524144, 0, 0, 0, 0, 0, 0, 0, 8349713419132, 0, 0, 0, 0, 0, 0, 0, -4499224857344, 0, 0, 0, 0, 0, 0, 0, 15707676945576, 0, 0, 0, 0, 0, 0, 0, -5355871703040, 0, 0, 0, 0, 0, 0, 0, -16627843194976, 0, 0, 0, 0, 0, 0, 0, -21155776206480, 0, 0, 0, 0, 0, 0, 0, 70175443968, 0, 0, 0, 0, 0, 0, 0, -8013982841788, 0, 0, 0, 0, 0, 0, 0, 593631727104, 0, 0, 0, 0, 0, 0, 0, 10240532376436, 0, 0, 0, 0, 0, 0, 0, -1498678129888, 0, 0, 0, 0, 0, 0, 0, 3532906157312, 0, 0, 0, 0, 0, 0, 0, 13947806002296, 0, 0, 0, 0, 0, 0, 0], 'weight': 8, '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: 205374
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '8.8.b.a', 'target_level': 8, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 8}
  • id: 205375
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '32.8.b.a', 'target_level': 32, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 8}
  • id: 205376
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 4, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '72.8.d.b', 'target_level': 72, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '48.k', 'twisting_char_orbit': 11, 'weight': 8}
  • id: 205377
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '256.8.a.q', 'target_level': 256, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 8}
  • id: 205378
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '256.8.a.q', 'target_level': 256, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 205379
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '256.8.a.r', 'target_level': 256, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 8}
  • id: 205380
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 18, 'target_is_minimal': False, 'target_label': '256.8.a.r', 'target_level': 256, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 8}
  • id: 205381
    {'conductor': 48, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 6, 'source_hecke_orbit': 17, 'source_is_minimal': False, 'source_label': '256.8.a.q', 'source_level': 256, 'target_char_orbit': 4, 'target_dim': 6, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '288.8.d.b', 'target_level': 288, 'twist_class_label': '8.8.b.a', 'twist_class_level': 8, 'twisting_char_label': '48.i', 'twisting_char_orbit': 9, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 597350
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 72057594172145920, 'p': 2}
  • id: 597351
    {'charpoly_factorization': [[[-4610229696, 0, 13205808, 0, -8020, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 3}
  • id: 597352
    {'charpoly_factorization': [[[-412405245440000, 0, 19577926400, 0, -254032, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 5}
  • id: 597353
    {'charpoly_factorization': [[[-441929216, -1048384, 344, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 7}
  • id: 597354
    {'charpoly_factorization': [[[-2149855992230386161600, 0, 743173813625904, 0, -52294004, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 11}
  • id: 597355
    {'charpoly_factorization': [[[-24487251428999370240000, 0, 5821641670624000, 0, -171080144, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 13}
  • id: 597356
    {'charpoly_factorization': [[[-9112197964104, -907714996, -726, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 17}
  • id: 597357
    {'charpoly_factorization': [[[-475867300669609431337619904, 0, 2904356007201913648, 0, -3360814100, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 19}
  • id: 597358
    {'charpoly_factorization': [[[2134822184448, -505954624, 648, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 23}
  • id: 597359
    {'charpoly_factorization': [[[-424205494617184221641909760000, 0, 786969033263564256000, 0, -55662621776, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 29}
  • id: 597360
    {'charpoly_factorization': [[[-1867811583459328, -34183492608, -44640, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 31}
  • id: 597361
    {'charpoly_factorization': [[[-617992928421224147868032643723264, 0, 62693545808917922763520, 0, -490654094672, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 37}
  • id: 597362
    {'charpoly_factorization': [[[-17679961159949400, -233067695380, 260622, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 41}
  • id: 597363
    {'charpoly_factorization': [[[-7785148142341185674388965355456, 0, 1911474156456083249200, 0, -124911737588, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 43}
  • id: 597364
    {'charpoly_factorization': [[[-15251091035959296, -49048909056, 783216, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 47}
  • id: 597365
    {'charpoly_factorization': [[[-1206327310526039972497627084133953536, 0, 4181846884553965477356288, 0, -3916631783120, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 53}
  • id: 597366
    {'charpoly_factorization': [[[-550737065763712802555226997336378304, 0, 11119713619132481564744240, 0, -6619585104052, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 59}
  • id: 597367
    {'charpoly_factorization': [[[-1053139851314178567056917443970560000, 0, 5487833931913656286089984, 0, -4505952081744, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 61}
  • id: 597368
    {'charpoly_factorization': [[[-756734382489347558070672940185024, 0, 126799666134501803239728, 0, -1291377394260, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 67}
  • id: 597369
    {'charpoly_factorization': [[[3841164241580155392, -9464693891904, 3798552, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 71}
  • id: 597370
    {'charpoly_factorization': [[[-216053954068698072, -9934777446036, 1044782, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 73}
  • id: 597371
    {'charpoly_factorization': [[[-49251461081810391040, -7783396574464, 8007952, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 79}
  • id: 597372
    {'charpoly_factorization': [[[-63652853266017468506124209929689530816, 0, 110669295989097617184580400, 0, -37884069033748, 0, 1], 1]], 'hecke_orbit_code': 72057594172145920, 'p': 83}
  • id: 597373
    {'charpoly_factorization': [[[-1174636932800532120, -2404948069204, 1084542, 1], 2]], 'hecke_orbit_code': 72057594172145920, 'p': 89}
  • id: 597374
    {'charpoly_factorization': [[[-1662041066006495624, -57460066941556, 544154, 1], 2]], 'hecke_orbit_code': 72057594172145920, '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': 1, 'hecke_orbit': 17, 'label': '256.8.a.q', 'level': 256, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 240317000
    {'hecke_orbit_code': 72057594172145920, 'n': 1, 'trace_an': 6}
  • id: 240317001
    {'hecke_orbit_code': 72057594172145920, 'n': 2, 'trace_an': 0}
  • id: 240317002
    {'hecke_orbit_code': 72057594172145920, 'n': 3, 'trace_an': 0}
  • id: 240317003
    {'hecke_orbit_code': 72057594172145920, 'n': 4, 'trace_an': 0}
  • id: 240317004
    {'hecke_orbit_code': 72057594172145920, 'n': 5, 'trace_an': 0}
  • id: 240317005
    {'hecke_orbit_code': 72057594172145920, 'n': 6, 'trace_an': 0}
  • id: 240317006
    {'hecke_orbit_code': 72057594172145920, 'n': 7, 'trace_an': -688}
  • id: 240317007
    {'hecke_orbit_code': 72057594172145920, 'n': 8, 'trace_an': 0}
  • id: 240317008
    {'hecke_orbit_code': 72057594172145920, 'n': 9, 'trace_an': 2918}
  • id: 240317009
    {'hecke_orbit_code': 72057594172145920, 'n': 10, 'trace_an': 0}
  • id: 240317010
    {'hecke_orbit_code': 72057594172145920, 'n': 11, 'trace_an': 0}
  • id: 240317011
    {'hecke_orbit_code': 72057594172145920, 'n': 12, 'trace_an': 0}
  • id: 240317012
    {'hecke_orbit_code': 72057594172145920, 'n': 13, 'trace_an': 0}
  • id: 240317013
    {'hecke_orbit_code': 72057594172145920, 'n': 14, 'trace_an': 0}
  • id: 240317014
    {'hecke_orbit_code': 72057594172145920, 'n': 15, 'trace_an': -17872}
  • id: 240317015
    {'hecke_orbit_code': 72057594172145920, 'n': 16, 'trace_an': 0}
  • id: 240317016
    {'hecke_orbit_code': 72057594172145920, 'n': 17, 'trace_an': 1452}
  • id: 240317017
    {'hecke_orbit_code': 72057594172145920, 'n': 18, 'trace_an': 0}
  • id: 240317018
    {'hecke_orbit_code': 72057594172145920, 'n': 19, 'trace_an': 0}
  • id: 240317019
    {'hecke_orbit_code': 72057594172145920, 'n': 20, 'trace_an': 0}
  • id: 240317020
    {'hecke_orbit_code': 72057594172145920, 'n': 21, 'trace_an': 0}
  • id: 240317021
    {'hecke_orbit_code': 72057594172145920, 'n': 22, 'trace_an': 0}
  • id: 240317022
    {'hecke_orbit_code': 72057594172145920, 'n': 23, 'trace_an': -1296}
  • id: 240317023
    {'hecke_orbit_code': 72057594172145920, 'n': 24, 'trace_an': 0}
  • id: 240317024
    {'hecke_orbit_code': 72057594172145920, 'n': 25, 'trace_an': 39314}
  • id: 240317025
    {'hecke_orbit_code': 72057594172145920, 'n': 26, 'trace_an': 0}
  • id: 240317026
    {'hecke_orbit_code': 72057594172145920, 'n': 27, 'trace_an': 0}
  • id: 240317027
    {'hecke_orbit_code': 72057594172145920, 'n': 28, 'trace_an': 0}
  • id: 240317028
    {'hecke_orbit_code': 72057594172145920, 'n': 29, 'trace_an': 0}
  • id: 240317029
    {'hecke_orbit_code': 72057594172145920, 'n': 30, 'trace_an': 0}
  • id: 240317030
    {'hecke_orbit_code': 72057594172145920, 'n': 31, 'trace_an': 89280}
  • id: 240317031
    {'hecke_orbit_code': 72057594172145920, 'n': 32, 'trace_an': 0}
  • id: 240317032
    {'hecke_orbit_code': 72057594172145920, 'n': 33, 'trace_an': 53880}
  • id: 240317033
    {'hecke_orbit_code': 72057594172145920, 'n': 34, 'trace_an': 0}
  • id: 240317034
    {'hecke_orbit_code': 72057594172145920, 'n': 35, 'trace_an': 0}
  • id: 240317035
    {'hecke_orbit_code': 72057594172145920, 'n': 36, 'trace_an': 0}
  • id: 240317036
    {'hecke_orbit_code': 72057594172145920, 'n': 37, 'trace_an': 0}
  • id: 240317037
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  • id: 240317122
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  • id: 240317134
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  • id: 240317135
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  • id: 240317139
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  • id: 240317140
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  • id: 240317141
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  • id: 240317142
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  • id: 240317152
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  • id: 240317172
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  • id: 240317176
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  • id: 240317988
    {'hecke_orbit_code': 72057594172145920, 'n': 989, 'trace_an': 0}
  • id: 240317989
    {'hecke_orbit_code': 72057594172145920, 'n': 990, 'trace_an': 0}
  • id: 240317990
    {'hecke_orbit_code': 72057594172145920, 'n': 991, 'trace_an': 30742152000}
  • id: 240317991
    {'hecke_orbit_code': 72057594172145920, 'n': 992, 'trace_an': 0}
  • id: 240317992
    {'hecke_orbit_code': 72057594172145920, 'n': 993, 'trace_an': -203347615880}
  • id: 240317993
    {'hecke_orbit_code': 72057594172145920, 'n': 994, 'trace_an': 0}
  • id: 240317994
    {'hecke_orbit_code': 72057594172145920, 'n': 995, 'trace_an': 0}
  • id: 240317995
    {'hecke_orbit_code': 72057594172145920, 'n': 996, 'trace_an': 0}
  • id: 240317996
    {'hecke_orbit_code': 72057594172145920, 'n': 997, 'trace_an': 0}
  • id: 240317997
    {'hecke_orbit_code': 72057594172145920, 'n': 998, 'trace_an': 0}
  • id: 240317998
    {'hecke_orbit_code': 72057594172145920, 'n': 999, 'trace_an': -12636286432}
  • id: 240317999
    {'hecke_orbit_code': 72057594172145920, 'n': 1000, 'trace_an': 0}