Newform data - 225.10.a.x

Formats: - HTML - YAML - JSON - 2025-10-03T09:21:03.739386

• 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': 22500, 'analytic_conductor': 115.88306313687146, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [225, 1, [101, 127], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 8, 'field_disc': 164831875374362539344400, 'field_disc_factorization': [[2, 4], [5, 2], [7, 6], [17, 2], [23, 4], [6581, 2]], 'field_poly': [43654030340, 852346526, -848796093, -7097368, 3539940, 10490, -3492, -4, 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': [[2, [136000, 0, -1060, 0, 1]], [7, [1989298362240000, 0, -124362000, 0, 1]]], 'hecke_orbit': 24, 'hecke_orbit_code': 103582791597293793, 'hecke_ring_generator_nbound': 17, 'hecke_ring_index': 268738560000000000, 'hecke_ring_index_factorization': [[2, 22], [3, 8], [5, 10]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 15, 4, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '225.10.a.x', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '45.10.b.d', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{3}q^{2}+(18-\\beta _{1})q^{4}+\\beta _{2}q^{7}+(-220\\beta _{3}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 8, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '225.10.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1048270918584974486, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.120', 'prec': 17}, {'__RealLiteral__': 0, 'data': '6.832', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.327', 'prec': 17}, {'__RealLiteral__': 0, 'data': '483.418', 'prec': 24}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '47391.027', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.761', 'prec': 17}, 'traces': [8, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1009088, 0, 0, 2079872, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12077344, 0, 0, -25286480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3119840, 0, 0, 174619144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -165845744, 0, 0, -91038464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1551352896, 0, 0, 1098932768, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1465128000, 0, 0, 4117219360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2082441680, 0, 0, 11930781968, 0, 0, 0, 0, 0, 0, 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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-18449499186], [-224639444497888, -10013773655618, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, -23212201336, 30415841057], [-2278532971780706, 5593189860624, 0, 0, 0, 0, 0, 0], [0, 0, 0, -153763663974087, 0, -1315058672467, 0, 0], [0, 0, -237978478315, 0, -21039321360, 0, 0, 0], [0, 0, 0, 37383932923389, 0, 4147287406609, 0, 0], [0, 0, 0, 0, 0, 0, 17217942652, 26274826493], [3307225839540452, 3917633522002, 0, 0, 0, 0, 0, 0], [0, 0, 272288099427, 0, -7646341289, 0, 0, 0], [0, 0, 0, 0, 0, 0, 16099076296, 57845808574], [0, 0, 138614618478, 0, 16083145024, 0, 0, 0], [0, 0, 0, 0, 0, 0, -75058789079, 48473676768], [0, 0, -536432887496, 0, -1507619924, 0, 0, 0], [0, 0, 0, 150213475930351, 0, -2630082872505, 0, 0], [0, 0, 0, -139499244196792, 0, 1551357526128, 0, 0], [1241976302556992, -3653918473838, 0, 0, 0, 0, 0, 0], [0, 0, -227174321064, 0, -5659055332, 0, 0, 0], [0, 0, 0, 0, 0, 0, 23773859004, -103639378323], [0, 0, 0, 0, 0, 0, 50725382204, -19705471688], [0, 0, 216744681793, 0, -10162839456, 0, 0, 0], [0, 0, 0, 91077198206689, 0, 6402770689365, 0, 0], [0, 0, 0, 50313224747462, 0, 5625783474042, 0, 0], [0, 0, 0, 0, 0, 0, 66199045092, -46370145761], [0, 0, -391027282433, 0, -13980696205, 0, 0, 0], [0, 0, 0, 52852530096226, 0, -625117905810, 0, 0], [0, 0, 0, 0, 0, 0, 45362784581, 11819116176], [0, 0, 948057338, 0, -29838913898, 0, 0, 0], [0, 0, 0, 56519414354419, 0, -3600634377741, 0, 0], [0, 0, 0, -194964795248572, 0, 1369844112420, 0, 0], [0, 0, 0, 0, 0, 0, -42316447752, -23044371012], [939084613680608, -2418642095378, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8804547520, -94315187448]], 'char_orbit_index': 1, 'field_poly': [43654030340, 852346526, -848796093, -7097368, 3539940, 10490, -3492, -4, 1], 'hecke_orbit_code': 103582791597293793, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1732747475, 1732747475, 1161330676431875, 1732747475, 1161330676431875, 232266135286375, 46453227057275], 'hecke_ring_inverse_denominators': [1, 18000, 18000, 36000, 9000, 36000, 9000, 18000], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [9000, 0, 0, -420, 0, 60, 5, 7], [15750000, -33900, -130, -420, -5, 60, 5, 7], [47241000, -101700, -390, 2450760, -15, 88320, 19435, 13889], [11569806000, -29620350, -129070, 1225590, 1555, 44130, 9715, 6941], [115619328000, -296034000, -1290050, 8097692160, 15575, 115239120, 31645935, 20648829], [18277776641250, -47835601575, -290252640, 6070205040, 5957610, 86319030, 23710165, 15469271], [127742130220500, -334331210850, -2029511120, 9223950006780, 41676005, 114802674960, 25361828030, 16335718672]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0], [623604735190, -672813624, 670443556, 4739232, -2367356, -2712, 904, 0], [20555349935060, 216834758724, -216365172256, -938958732, 468943856, 642612, -214204, 0], [-1437356810756820, 2866024476682412, 26063679253638, -17363267993960, -18779741790, 7516854900, -4958184, 1416624], [692556397895240, 5161863553896, -5158003741024, -7719065928, 3858133424, 1679448, -559816, 0], [128738511888476510, -256555941273511916, -2762168702435734, 1837850121086280, 5392310665970, -2154503985700, -2420280688, 691508768], [617885245171432420, -1234136242128143372, -4901788549078928, 3264672223541260, 4779603226240, -1910620208900, -1221081596, 348880456], [-195583473091423660, 390596828489112356, 1709837606626544, -1138173630920980, -2576664069520, 1029673276700, 992351108, -283528888]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 8, 'label': '225.10.a.x', 'level': 225, 'maxp': 2999, 'weight': 10}
• 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

  
  {'ALdims': [13, 16, 20, 21], 'ALdims_eis_new': [0, 0, 1, 2], 'ALdims_eis_old': [6, 6, 5, 4], 'ALdims_old': [50, 49, 46, 43], 'Nk2': 22500, 'analytic_conductor': 115.88306313687146, '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': [225, 1, [101, 127], [1, 1]], 'conrey_index': 1, 'cusp_dim': 258, 'dim': 70, 'eis_dim': 24, 'eis_new_dim': 3, 'hecke_cutter_primes': [2, 7], 'hecke_orbit_code': 167772385, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 6, 6, 8], 'label': '225.10.a', 'level': 225, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 282, 'mf_new_dim': 73, 'num_forms': 24, 'plus_dim': 34, 'prim_orbit_index': 1, 'relative_dim': 70, 'sturm_bound': 300, 'trace_bound': 7, 'trace_display': [32, 0, 0, 5638], 'traces': [70, 32, 0, 17922, 0, 0, 5638, 32940, 0, 0, -99738, 0, -148516, 120072, 0, 4164554, 315962, 0, 1059982, 0, 0, -420944, -1192254, 0, 0, 3928908, 0, -122144, -826002, 0, 11154716, 24666772, 0, 24557570, 0, 0, -18572232, -17323240, 0, 0, -25410504, 0, 40819214, -228405234, 0, 20818204, 125262422, 0, 314859818, 0, 0, -196109592, -18769894, 0, 0, -27361620, 0, -65147920, -391612404, 0, -8832016, 38022984, 0, 886502810, 0, 0, 564691858, 589124584, 0, 0, -465147732, 0, 166031624, 176521572, 0, 1142520042, -737802096, 0, 82833184, 0, 0, 656687216, 1448251266, 0, 0, -2178393948, 0, -654530880, 2699989944, 0, -306057636, -3936201888, 0, -2820398824, 0, 0, -1304850912, 6818382544, 0, 0, -5355393798, 0, -3408411846, 5321978664, 0, -2665812356, -2260847778, 0, 1341077620, 0, 0, 6782908288, 5475118226, 0, 0, -4514064648, 0, -2482575920, -3670035288, 0, 15738939172, 615755864, 0, 10351145484, 0, 0, 2600795198, 26564091660, 0, 0, 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21554977947574, 0, 0, 527859062496, 1671057105826, 0, 0, 62905954909170, 0, -2780965857808, -130569386498820, 0, -27828964739412, -63594418628160, 0, -288985810234700, 0, 0, -71512527952712, 102847939403360, 0, 0, -90132306250230, 0, 13055464273254, 133805285103336, 0, 134076135439582, 22384098656022, 0, 120324409682508, 0, 0, 233621888662928, 15527746809800, 0, 0, 211762853645220, 0, -116091596372480, 161479738890240, 0, 22466328116584, -107448519034232, 0, 237467202142594, 0, 0, -22953512803382, 97459984679744, 0, 0, -101073058935972, 0, 45581658451728, -8901345722298, 0, -27303789116736, 36381508639344, 0, -38344381812944, 0, 0, -116852491139184, 70508500467592, 0, 0, -189099340608768, 0, -120503860469480, -249602307669726, 0, 186078912593486, -8055362601528, 0, -23975389934104, 0, 0, 123586056060988, 139258964578608, 0, 0, 66991752403926, 0, 23268968392068, -173311187228976, 0, -149692966868688, 3927308706222, 0, 96246929878872, 0, 0, -5126448095280, 71368726183106, 0, 0, -499702498746864, 0, -19985029328880, 83513799329832, 0, 105485283301974, -67785920212496, 0, -184849789013982, 0, 0, -203987213480682, 154060568382060, 0, 0, 123441453136926, 0, -173788159050280, 181601849724960, 0, 211811146543684, 13490403800162, 0, 180849552815046, 0, 0, 272729225977616, 64293199150626, 0, 0, -282949662367056, 0, -62662672815440, -66405858975372, 0, -46127484345340, -41886278610696, 0, 601654913182416, 0, 0, -35637399317552, 117757948069400, 0, 0], 'weight': 10, '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: 183969
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '45.10.b.d', 'target_level': 45, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 183970
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 2, 'target_dim': 8, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '45.10.b.d', 'target_level': 45, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 10}
  • id: 183971
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '225.10.a.x', 'target_level': 225, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 183972
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '225.10.a.x', 'target_level': 225, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 183973
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '225.10.a.x', 'target_level': 225, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 183974
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 8, 'source_hecke_orbit': 24, 'source_is_minimal': False, 'source_label': '225.10.a.x', 'source_level': 225, 'target_char_orbit': 1, 'target_dim': 8, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '225.10.a.x', 'target_level': 225, 'twist_class_label': '45.10.b.d', 'twist_class_level': 45, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 543525
    {'charpoly_factorization': [[[136000, 0, -1060, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 2}
  • id: 543526
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 103582791597293793, 'p': 3}
  • id: 543527
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 103582791597293793, 'p': 5}
  • id: 543528
    {'charpoly_factorization': [[[1989298362240000, 0, -124362000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 7}
  • id: 543529
    {'charpoly_factorization': [[[11119353945840000000, 0, -9583434000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 11}
  • id: 543530
    {'charpoly_factorization': [[[464630634368288640000, 0, -48381354000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 13}
  • id: 543531
    {'charpoly_factorization': [[[671610546184546000, 0, -43232797240, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 17}
  • id: 543532
    {'charpoly_factorization': [[[-179554976144, -519968, 1], 4]], 'hecke_orbit_code': 103582791597293793, 'p': 19}
  • id: 543533
    {'charpoly_factorization': [[[4002987820736235709216000, 0, -5634563947360, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 23}
  • id: 543534
    {'charpoly_factorization': [[[25683675428700278640000000, 0, -42576647274000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 29}
  • id: 543535
    {'charpoly_factorization': [[[-39095996869376, -3019336, 1], 4]], 'hecke_orbit_code': 103582791597293793, 'p': 31}
  • id: 543536
    {'charpoly_factorization': [[[2304340541299314233735040000, 0, -96426527274000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 37}
  • id: 543537
    {'charpoly_factorization': [[[1660032223945885440000000, 0, -493003919016000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 41}
  • id: 543538
    {'charpoly_factorization': [[[47009328185889620691517440000, 0, -456988331520000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 43}
  • id: 543539
    {'charpoly_factorization': [[[480206578905651435120671776000, 0, -1580949932577760, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 47}
  • id: 543540
    {'charpoly_factorization': [[[21313539974350034615234386000, 0, -980450628956440, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 53}
  • id: 543541
    {'charpoly_factorization': [[[50374099902819123487027440000000, 0, -14573985816474000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 59}
  • id: 543542
    {'charpoly_factorization': [[[-709545978526076, 41461436, 1], 4]], 'hecke_orbit_code': 103582791597293793, 'p': 61}
  • id: 543543
    {'charpoly_factorization': [[[434697326334286723439428515840000, 0, -41926741772328000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 67}
  • id: 543544
    {'charpoly_factorization': [[[5187914500475231731879223040000000, 0, -160275599250984000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 71}
  • id: 543545
    {'charpoly_factorization': [[[3880055853657105792390393200640000, 0, -125526709379232000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 73}
  • id: 543546
    {'charpoly_factorization': [[[1343187446386816, -274733192, 1], 4]], 'hecke_orbit_code': 103582791597293793, 'p': 79}
  • id: 543547
    {'charpoly_factorization': [[[8298255044229639471081705304576000, 0, -303674498749306240, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 83}
  • id: 543548
    {'charpoly_factorization': [[[44808583769666350586265600000000000, 0, -521584580966400000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, 'p': 89}
  • id: 543549
    {'charpoly_factorization': [[[263071170849173249531386837923840000, 0, -1480672312041384000, 0, 1], 2]], 'hecke_orbit_code': 103582791597293793, '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': 24, 'label': '225.10.a.x', 'level': 225, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 66268567
    {'hecke_orbit_code': 103582791597293793, 'n': 1, 'trace_an': 8}
  • id: 66268568
    {'hecke_orbit_code': 103582791597293793, 'n': 2, 'trace_an': 0}
  • id: 66268569
    {'hecke_orbit_code': 103582791597293793, 'n': 3, 'trace_an': 0}
  • id: 66268570
    {'hecke_orbit_code': 103582791597293793, 'n': 4, 'trace_an': 144}
  • id: 66268571
    {'hecke_orbit_code': 103582791597293793, 'n': 5, 'trace_an': 0}
  • id: 66268572
    {'hecke_orbit_code': 103582791597293793, 'n': 6, 'trace_an': 0}
  • id: 66268573
    {'hecke_orbit_code': 103582791597293793, 'n': 7, 'trace_an': 0}
  • id: 66268574
    {'hecke_orbit_code': 103582791597293793, 'n': 8, 'trace_an': 0}
  • id: 66268575
    {'hecke_orbit_code': 103582791597293793, 'n': 9, 'trace_an': 0}
  • id: 66268576
    {'hecke_orbit_code': 103582791597293793, 'n': 10, 'trace_an': 0}
  • id: 66268577
    {'hecke_orbit_code': 103582791597293793, 'n': 11, 'trace_an': 0}
  • id: 66268578
    {'hecke_orbit_code': 103582791597293793, 'n': 12, 'trace_an': 0}
  • id: 66268579
    {'hecke_orbit_code': 103582791597293793, 'n': 13, 'trace_an': 0}
  • id: 66268580
    {'hecke_orbit_code': 103582791597293793, 'n': 14, 'trace_an': 0}
  • id: 66268581
    {'hecke_orbit_code': 103582791597293793, 'n': 15, 'trace_an': 0}
  • id: 66268582
    {'hecke_orbit_code': 103582791597293793, 'n': 16, 'trace_an': -1009088}
  • id: 66268583
    {'hecke_orbit_code': 103582791597293793, 'n': 17, 'trace_an': 0}
  • id: 66268584
    {'hecke_orbit_code': 103582791597293793, 'n': 18, 'trace_an': 0}
  • id: 66268585
    {'hecke_orbit_code': 103582791597293793, 'n': 19, 'trace_an': 2079872}
  • id: 66268586
    {'hecke_orbit_code': 103582791597293793, 'n': 20, 'trace_an': 0}
  • id: 66268587
    {'hecke_orbit_code': 103582791597293793, 'n': 21, 'trace_an': 0}
  • id: 66268588
    {'hecke_orbit_code': 103582791597293793, 'n': 22, 'trace_an': 0}
  • id: 66268589
    {'hecke_orbit_code': 103582791597293793, 'n': 23, 'trace_an': 0}
  • id: 66268590
    {'hecke_orbit_code': 103582791597293793, 'n': 24, 'trace_an': 0}
  • id: 66268591
    {'hecke_orbit_code': 103582791597293793, 'n': 25, 'trace_an': 0}
  • id: 66268592
    {'hecke_orbit_code': 103582791597293793, 'n': 26, 'trace_an': 0}
  • id: 66268593
    {'hecke_orbit_code': 103582791597293793, 'n': 27, 'trace_an': 0}
  • id: 66268594
    {'hecke_orbit_code': 103582791597293793, 'n': 28, 'trace_an': 0}
  • id: 66268595
    {'hecke_orbit_code': 103582791597293793, 'n': 29, 'trace_an': 0}
  • id: 66268596
    {'hecke_orbit_code': 103582791597293793, 'n': 30, 'trace_an': 0}
  • id: 66268597
    {'hecke_orbit_code': 103582791597293793, 'n': 31, 'trace_an': 12077344}
  • id: 66268598
    {'hecke_orbit_code': 103582791597293793, 'n': 32, 'trace_an': 0}
  • id: 66268599
    {'hecke_orbit_code': 103582791597293793, 'n': 33, 'trace_an': 0}
  • id: 66268600
    {'hecke_orbit_code': 103582791597293793, 'n': 34, 'trace_an': -25286480}
  • id: 66268601
    {'hecke_orbit_code': 103582791597293793, 'n': 35, 'trace_an': 0}
  • id: 66268602
    {'hecke_orbit_code': 103582791597293793, 'n': 36, 'trace_an': 0}
  • id: 66268603
    {'hecke_orbit_code': 103582791597293793, 'n': 37, 'trace_an': 0}
  • id: 66268604
    {'hecke_orbit_code': 103582791597293793, 'n': 38, 'trace_an': 0}
  • id: 66268605
    {'hecke_orbit_code': 103582791597293793, 'n': 39, 'trace_an': 0}
  • id: 66268606
    {'hecke_orbit_code': 103582791597293793, 'n': 40, 'trace_an': 0}
  • id: 66268607
    {'hecke_orbit_code': 103582791597293793, 'n': 41, 'trace_an': 0}
  • id: 66268608
    {'hecke_orbit_code': 103582791597293793, 'n': 42, 'trace_an': 0}
  • id: 66268609
    {'hecke_orbit_code': 103582791597293793, 'n': 43, 'trace_an': 0}
  • id: 66268610
    {'hecke_orbit_code': 103582791597293793, 'n': 44, 'trace_an': 0}
  • id: 66268611
    {'hecke_orbit_code': 103582791597293793, 'n': 45, 'trace_an': 0}
  • id: 66268612
    {'hecke_orbit_code': 103582791597293793, 'n': 46, 'trace_an': 3119840}
  • id: 66268613
    {'hecke_orbit_code': 103582791597293793, 'n': 47, 'trace_an': 0}
  • id: 66268614
    {'hecke_orbit_code': 103582791597293793, 'n': 48, 'trace_an': 0}
  • id: 66268615
    {'hecke_orbit_code': 103582791597293793, 'n': 49, 'trace_an': 174619144}
  • id: 66268616
    {'hecke_orbit_code': 103582791597293793, 'n': 50, 'trace_an': 0}
  • id: 66268617
    {'hecke_orbit_code': 103582791597293793, 'n': 51, 'trace_an': 0}
  • id: 66268618
    {'hecke_orbit_code': 103582791597293793, 'n': 52, 'trace_an': 0}
  • id: 66268619
    {'hecke_orbit_code': 103582791597293793, 'n': 53, 'trace_an': 0}
  • id: 66268620
    {'hecke_orbit_code': 103582791597293793, 'n': 54, 'trace_an': 0}
  • id: 66268621
    {'hecke_orbit_code': 103582791597293793, 'n': 55, 'trace_an': 0}
  • id: 66268622
    {'hecke_orbit_code': 103582791597293793, 'n': 56, 'trace_an': 0}
  • id: 66268623
    {'hecke_orbit_code': 103582791597293793, 'n': 57, 'trace_an': 0}
  • id: 66268624
    {'hecke_orbit_code': 103582791597293793, 'n': 58, 'trace_an': 0}
  • id: 66268625
    {'hecke_orbit_code': 103582791597293793, 'n': 59, 'trace_an': 0}
  • id: 66268626
    {'hecke_orbit_code': 103582791597293793, 'n': 60, 'trace_an': 0}
  • id: 66268627
    {'hecke_orbit_code': 103582791597293793, 'n': 61, 'trace_an': -165845744}
  • id: 66268628
    {'hecke_orbit_code': 103582791597293793, 'n': 62, 'trace_an': 0}
  • id: 66268629
    {'hecke_orbit_code': 103582791597293793, 'n': 63, 'trace_an': 0}
  • id: 66268630
    {'hecke_orbit_code': 103582791597293793, 'n': 64, 'trace_an': -91038464}
  • id: 66268631
    {'hecke_orbit_code': 103582791597293793, 'n': 65, 'trace_an': 0}
  • id: 66268632
    {'hecke_orbit_code': 103582791597293793, 'n': 66, 'trace_an': 0}
  • id: 66268633
    {'hecke_orbit_code': 103582791597293793, 'n': 67, 'trace_an': 0}
  • id: 66268634
    {'hecke_orbit_code': 103582791597293793, 'n': 68, 'trace_an': 0}
  • id: 66268635
    {'hecke_orbit_code': 103582791597293793, 'n': 69, 'trace_an': 0}
  • id: 66268636
    {'hecke_orbit_code': 103582791597293793, 'n': 70, 'trace_an': 0}
  • id: 66268637
    {'hecke_orbit_code': 103582791597293793, 'n': 71, 'trace_an': 0}
  • id: 66268638
    {'hecke_orbit_code': 103582791597293793, 'n': 72, 'trace_an': 0}
  • id: 66268639
    {'hecke_orbit_code': 103582791597293793, 'n': 73, 'trace_an': 0}
  • id: 66268640
    {'hecke_orbit_code': 103582791597293793, 'n': 74, 'trace_an': 0}
  • id: 66268641
    {'hecke_orbit_code': 103582791597293793, 'n': 75, 'trace_an': 0}
  • id: 66268642
    {'hecke_orbit_code': 103582791597293793, 'n': 76, 'trace_an': 1551352896}
  • id: 66268643
    {'hecke_orbit_code': 103582791597293793, 'n': 77, 'trace_an': 0}
  • id: 66268644
    {'hecke_orbit_code': 103582791597293793, 'n': 78, 'trace_an': 0}
  • id: 66268645
    {'hecke_orbit_code': 103582791597293793, 'n': 79, 'trace_an': 1098932768}
  • id: 66268646
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