Embedded newform data - 390.10.a.e.1.4

Formats: - HTML - YAML - JSON - 2026-01-11T08:03:35.118337

• 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': 39000, 'analytic_conductor': 200.86397610391052, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [5, -1], [13, 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': [390, 1, [131, 157, 301], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 190343973449559036, 'field_disc_factorization': [[2, 2], [3, 1], [15861997787463253, 1]], 'field_poly': [-65794500, 6753414, -103194, -1, 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': 0, 'hecke_cutters': [[7, [312219392439500, 107120277040, -105260859, 2318, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014398677254534, 'hecke_ring_generator_nbound': 23, 'hecke_ring_index': 1920, 'hecke_ring_index_factorization': [[2, 7], [3, 1], [5, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '390.10.a.e', 'level': 390, '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': True, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'minimal_twist': '390.10.a.e', 'prim_orbit_index': 1, 'qexp_display': 'q-2^{4}q^{2}+3^{4}q^{3}+2^{8}q^{4}+5^{4}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '390.10.a', 'trace_display': [-64, 324, 2500, -2318], 'trace_hash': 2202906967882131780, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.784', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '38.674', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '617.134', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, -64, 324, 1024, 2500, -5184, -2318, -16384, 26244, -40000, -10508, 82944, -114244, 37088, 202500, 262144, -386792, -419904, -228476, 640000, -187758, 168128, 361088, -1327104, 1562500, 1827904, 2125764, -593408, 1053374, -3240000, 12118, -4194304, -851148, 6188672, -1448750, 6718464, 983622, 3655616, -9253764, -10240000, -5900234, 3004128, -7525148, -2690048, 16402500, -5777408, 52858086, 21233664, 54480414, -25000000, -31330152, -29246464, -39944454, -34012224, -6567500, 9494528, -18506556, -16853984, -221262654, 51840000, -301613618, -193888, -15208398, 67108864, -71402500, 13618368, 107925130, -99018752, 29248128, 23180000, -407933556, -107495424, -649353258, 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• 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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[-2.37642135535702, 0.0], [-0.240679623457203, 0.0], [0.8273928772581838, 0.0], [0.37820301766323283, 0.0], [0.009501849117897615, 0.0], [0.5835614568433027, 0.0], [0.39098089782450673, 0.0], [-0.11551222265217802, 0.0], [-0.5392121079238548, 0.0], [-0.41920334759282485, 0.0], [0.04239035824325372, 0.0], [0.5872292762638606, 0.0], [1.413248752165742, 0.0], [-0.034020690871988585, 0.0], [-0.22426271194673386, 0.0], [1.043514685698725, 0.0], [-0.048320501034747644, 0.0], [-0.11268055860478746, 0.0], [1.215283845050926, 0.0], [0.16856312895878597, 0.0], [0.26037671533237017, 0.0], [0.4294635610077686, 0.0], [0.41547790069284574, 0.0], [-0.0846174736107403, 0.0], [0.1165984455993079, 0.0], [-0.3601802564616886, 0.0], [0.7442174556255104, 0.0], [0.46764811930067973, 0.0], [-0.34936591380337106, 0.0], [-0.1140591808777145, 0.0], [0.7015152771046047, 0.0], [-0.16485008774022095, 0.0], [-0.39172177879001435, 0.0], [0.1327451605057769, 0.0], [0.07308150179953432, 0.0], [-0.6625399970014257, 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[-0.7809467352286091, 0.0], [0.23123750257623274, 0.0], [-0.3839126178792234, 0.0], [-0.2531586531025421, 0.0], [-1.1973098254478494, 0.0], [-0.36537463642539164, 0.0], [0.1632105478104978, 0.0], [0.32697985702057186, 0.0], [0.031562441631170876, 0.0], [0.04457997513813265, 0.0], [-0.37158265645379795, 0.0], [-0.5895757889988478, 0.0], [-0.16639299016509507, 0.0], [0.4367275692578818, 0.0], [0.03268602252303067, 0.0], [-0.8443824251337841, 0.0], [0.8653794734695873, 0.0], [-0.17293944856636814, 0.0], [0.10718592532010413, 0.0], [-0.439361370591387, 0.0], [0.2998948523209622, 0.0], [0.10574031811130713, 0.0], [0.07076085984635595, 0.0], [0.11219690658975393, 0.0], [-1.3523838752444162, 0.0], [-0.13428643725193393, 0.0], [-0.34388391305412125, 0.0], [0.34604999702551803, 0.0], [-0.009014245558745474, 0.0], [0.05339901350257951, 0.0], [0.44118744242351904, 0.0], [0.8633416938856147, 0.0], [-0.057714168403371, 0.0], [0.8195474573857786, 0.0], [-0.40597140890888456, 0.0], [0.5437982756426564, 0.0], [-0.49478930567240115, 0.0], [-0.8819127464415004, 0.0], [0.032274861218395144, 0.0], [-0.970114368348368, 0.0], [-0.24824248311629402, 0.0], [-0.5501870178306669, 0.0], [-0.40122621282926507, 0.0], [-0.06927360106070349, 0.0], [-0.9991548660442007, 0.0], [1.1463999518237298, 0.0], [-0.014410744064432214, 0.0], [-0.035226875798352396, 0.0], [-0.39415694509639276, 0.0], [-1.7431345766803683, 0.0], [0.032075014954979206, 0.0], [-0.6660111634552422, 0.0], [-0.6870146618839763, 0.0], [-0.03202563076101743, 0.0], [-0.10257280426144953, 0.0], [0.558276235175009, 0.0], [0.07869413493417318, 0.0], [-1.37056987812296, 0.0], [0.1563905249213094, 0.0], [-0.4049021283481543, 0.0], [0.7572178429927384, 0.0], [1.6727820106421194, 0.0], [-0.011496729839764814, 0.0], [0.04287181443001096, 0.0], [-0.6249259838096278, 0.0], [0.3607778775262818, 0.0], [-0.008839195000838513, 0.0], [-3.5196575126250838, 0.0], [0.10753602700695321, 0.0], [-1.0560647639383465, 0.0], [0.030560202700792117, 0.0], [-0.3218995134663486, 0.0], [0.768533345888495, 0.0], [-0.03850556914652624, 0.0], [0.006393347837197459, 0.0], [1.7093777670364951, 0.0], [-0.16010254495858367, 0.0], [-0.24360202752739296, 0.0], [-0.03162277660168379, 0.0]], 'angles': [None, None, None, -0.13700600192858425, -0.33519361796334896, None, -0.329431325047905, -0.24492684572417847, -0.056011789116043084, -0.3263674528324224, -0.26377411301027676, -0.3590670990212484, -0.2455174256431045, -0.4433722440997949, -0.211479554721758, -0.23046561263935136, -0.22740024672261108, -0.28288339712124905, -0.3277650225915454, -0.31843636879639686, -0.3572162976585478, -0.3515476600924245, -0.24823754527810654, -0.13277535699464618, -0.14291269885401842, -0.17969350487191874, -0.3423171008109061, -0.4044915076322239, -0.35388435174339544, -0.1854236716629519, -0.116327439646718, -0.2065040253563143, -0.3049187974194398, -0.2911116001596232, -0.21778320182781652, -0.18073712872831835, -0.30985797161083467, 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-0.267759743557833, -0.38804722613966425, -0.07834007206484277, -0.21417629892670903, -0.3705757702740695, -0.3324977089972381, -0.14027779634914803, -0.162102457590922, -0.1551210258642821, -0.2840722531271532, -0.06300090917768228, -0.31415326403041055, -0.4745650239198216, -0.11652565332501581, -0.3309403674913709, -0.14640193307061763, -0.3782336047683775, -0.18211874498352898, -0.21868506758256057, -0.29344673921889974, -0.1251085422924233, -0.18931742527177545, -0.19296204814282597, -0.2813750520443708, -0.356852784972548, -0.24668095157506137, -0.3839200269356787, -0.31203919687111786, -0.22386243729993718, -0.31936945940609496, -0.2852507744565833, -0.26069422072900666, -0.1789621024911958, -0.15285090938391668, -0.41844800681636113, -0.20497563439665512, -0.09233067165739531, -0.33853501931841906, -0.08687394178769567], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 283.7096374568198, 'hecke_orbit': 5, 'hecke_orbit_code': 18014398677254534, 'label': '390.10.a.e.1.4', 'level': 390, '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': [5, 4, 5, 4, 5, 4, 4, 5, 5, 4, 4, 5, 4, 5, 6, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'ALdims_old': [38, 46, 42, 43, 43, 42, 42, 42, 41, 44, 43, 41, 44, 40, 43, 42], 'Nk2': 39000, 'analytic_conductor': 200.86397610391052, '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': [390, 1, [131, 157, 301], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 748, 'dim': 72, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [7], 'hecke_orbit_code': 167772550, 'hecke_orbit_dims': [3, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 6], 'label': '390.10.a', 'level': 390, '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': True, 'level_primes': [2, 3, 5, 13], 'level_radical': 390, 'mf_dim': 764, 'mf_new_dim': 72, 'num_forms': 16, 'plus_dim': 32, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 840, 'trace_bound': 5, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 18432, 0, 0, 0, 0, 472392, 0, 0, 0, -114244, 242560, 0, 4718592, -500232, 0, 2220320, 0, 0, -2436224, -1159456, 0, 28125000, 0, 0, 0, -25101064, 0, 1630016, 0, 4706424, -426240, 18740000, 120932352, 26619240, 13974144, 0, 0, -14402064, 20881152, 4777664, 0, 0, 44353280, 23511680, 0, 337303216, 0, -119746512, -29246464, 201094248, 0, 77670000, 62095360, -84448008, -396102272, 285542896, 0, -94936632, 94620032, 0, 1207959552, 0, 315498240, -487428920, -128059392, -360193392, -192080000, -449713888, 0, 531593808, -37049344, 0, 568401920, -2145685808, -148060224, 624522584, 0, 3099363912, 1337938816, 1242609120, 0, 504435000, -78521088, 1473758712, -623673344, 4475345616, 0, -670383792, -296820736, -2083596696, -22073344, -205210000, 0, 1404915280, -1999848448, 0, 7200000000, 3993029752, 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• 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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 18014398677254534, 'source_is_minimal': True, 'source_label': '390.10.a.e.1.4', 'source_level': 390, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 18014398677254534, 'target_is_minimal': True, 'target_label': '390.10.a.e.1.4', 'target_level': 390, 'twist_class_label': '390.10.a.e.1.4', 'twist_class_level': 390, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 818650
    {'charpoly_factorization': [[[16, 1], 4]], 'hecke_orbit_code': 18014398677254534, 'p': 2}
  • id: 818651
    {'charpoly_factorization': [[[-81, 1], 4]], 'hecke_orbit_code': 18014398677254534, 'p': 3}
  • id: 818652
    {'charpoly_factorization': [[[-625, 1], 4]], 'hecke_orbit_code': 18014398677254534, 'p': 5}
  • id: 818653
    {'charpoly_factorization': [[[312219392439500, 107120277040, -105260859, 2318, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 7}
  • id: 818654
    {'charpoly_factorization': [[[2908955183120290424, -111238292242106, -5364367323, 10508, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 11}
  • id: 818655
    {'charpoly_factorization': [[[28561, 1], 4]], 'hecke_orbit_code': 18014398677254534, 'p': 13}
  • id: 818656
    {'charpoly_factorization': [[[1721469013846116873160, -19497153325760026, -56149562427, 386792, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 17}
  • id: 818657
    {'charpoly_factorization': [[[599814119073045432816, -10962960462579696, -164322314112, 228476, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 19}
  • id: 818658
    {'charpoly_factorization': [[[1084182299160219401728248, -2324860717402604322, -4686780683739, -361088, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 23}
  • id: 818659
    {'charpoly_factorization': [[[-4516672424946722575873792, -37265530370708562184, -26302194540996, -1053374, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 29}
  • id: 818660
    {'charpoly_factorization': [[[-72608328301914193589636832, -124733929117615140552, -49232828664924, -12118, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 31}
  • id: 818661
    {'charpoly_factorization': [[[32065364545520757156737867100, 337850462293995080, -376390241688459, -983622, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 37}
  • id: 818662
    {'charpoly_factorization': [[[-6461523975878626348017844, -6534092246623751456, 5582315766621, 5900234, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 41}
  • id: 818663
    {'charpoly_factorization': [[[178736262467982815331952206848, 6533081884475083831360, -1395895542378192, 7525148, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 43}
  • id: 818664
    {'charpoly_factorization': [[[7446696097916561574092973120, -4821382963342890159048, 862180112672412, -52858086, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 47}
  • id: 818665
    {'charpoly_factorization': [[[-13461636081310501798891405500, 45599927194816327748300, -3933578841378675, 39944454, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 53}
  • id: 818666
    {'charpoly_factorization': [[[-12145571459823547153665367664640, -42114058066644206146304, 12575786850032664, 221262654, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 59}
  • id: 818667
    {'charpoly_factorization': [[[19584249757259271455638791306500, 1294401970408408514896540, 30638979537717357, 301613618, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 61}
  • id: 818668
    {'charpoly_factorization': [[[164929918264509696867611944964352, 2528522735787202043023968, -31239991734432816, -107925130, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 67}
  • id: 818669
    {'charpoly_factorization': [[[-2431750243528724564788695797928672, -24384546711661946401283474, -19334350027563411, 407933556, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 71}
  • id: 818670
    {'charpoly_factorization': [[[-2759851020586798584520144139928000, -15172630319780002670511880, 84928403472685212, 649353258, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 73}
  • id: 818671
    {'charpoly_factorization': [[[-11383462309628248583967340551592864, -8343428123839146002829116, 341098630490986473, 1126263686, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 79}
  • id: 818672
    {'charpoly_factorization': [[[853930037737652511977333981255808, -86837514835961398584949344, -247590408460333656, 334595286, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 83}
  • id: 818673
    {'charpoly_factorization': [[[10073474661005631821954759757759700, -47357192579945387097031340, -500895720860737611, -110458574, 1], 1]], 'hecke_orbit_code': 18014398677254534, 'p': 89}
  • id: 818674
    {'charpoly_factorization': [[[-402794816335505360637030117617176192, 1627995020772011307446320942, -446501769023057859, -1740509692, 1], 1]], 'hecke_orbit_code': 18014398677254534, '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': 5, 'label': '390.10.a.e', 'level': 390, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 40307575
    {'hecke_orbit_code': 18014398677254534, 'n': 1, 'trace_an': 4}
  • id: 40307576
    {'hecke_orbit_code': 18014398677254534, 'n': 2, 'trace_an': -64}
  • id: 40307577
    {'hecke_orbit_code': 18014398677254534, 'n': 3, 'trace_an': 324}
  • id: 40307578
    {'hecke_orbit_code': 18014398677254534, 'n': 4, 'trace_an': 1024}
  • id: 40307579
    {'hecke_orbit_code': 18014398677254534, 'n': 5, 'trace_an': 2500}
  • id: 40307580
    {'hecke_orbit_code': 18014398677254534, 'n': 6, 'trace_an': -5184}
  • id: 40307581
    {'hecke_orbit_code': 18014398677254534, 'n': 7, 'trace_an': -2318}
  • id: 40307582
    {'hecke_orbit_code': 18014398677254534, 'n': 8, 'trace_an': -16384}
  • id: 40307583
    {'hecke_orbit_code': 18014398677254534, 'n': 9, 'trace_an': 26244}
  • id: 40307584
    {'hecke_orbit_code': 18014398677254534, 'n': 10, 'trace_an': -40000}
  • id: 40307585
    {'hecke_orbit_code': 18014398677254534, 'n': 11, 'trace_an': -10508}
  • id: 40307586
    {'hecke_orbit_code': 18014398677254534, 'n': 12, 'trace_an': 82944}
  • id: 40307587
    {'hecke_orbit_code': 18014398677254534, 'n': 13, 'trace_an': -114244}
  • id: 40307588
    {'hecke_orbit_code': 18014398677254534, 'n': 14, 'trace_an': 37088}
  • id: 40307589
    {'hecke_orbit_code': 18014398677254534, 'n': 15, 'trace_an': 202500}
  • id: 40307590
    {'hecke_orbit_code': 18014398677254534, 'n': 16, 'trace_an': 262144}
  • id: 40307591
    {'hecke_orbit_code': 18014398677254534, 'n': 17, 'trace_an': -386792}
  • id: 40307592
    {'hecke_orbit_code': 18014398677254534, 'n': 18, 'trace_an': -419904}
  • id: 40307593
    {'hecke_orbit_code': 18014398677254534, 'n': 19, 'trace_an': -228476}
  • id: 40307594
    {'hecke_orbit_code': 18014398677254534, 'n': 20, 'trace_an': 640000}
  • id: 40307595
    {'hecke_orbit_code': 18014398677254534, 'n': 21, 'trace_an': -187758}
  • id: 40307596
    {'hecke_orbit_code': 18014398677254534, 'n': 22, 'trace_an': 168128}
  • id: 40307597
    {'hecke_orbit_code': 18014398677254534, 'n': 23, 'trace_an': 361088}
  • id: 40307598
    {'hecke_orbit_code': 18014398677254534, 'n': 24, 'trace_an': -1327104}
  • id: 40307599
    {'hecke_orbit_code': 18014398677254534, 'n': 25, 'trace_an': 1562500}
  • id: 40307600
    {'hecke_orbit_code': 18014398677254534, 'n': 26, 'trace_an': 1827904}
  • id: 40307601
    {'hecke_orbit_code': 18014398677254534, 'n': 27, 'trace_an': 2125764}
  • id: 40307602
    {'hecke_orbit_code': 18014398677254534, 'n': 28, 'trace_an': -593408}
  • id: 40307603
    {'hecke_orbit_code': 18014398677254534, 'n': 29, 'trace_an': 1053374}
  • id: 40307604
    {'hecke_orbit_code': 18014398677254534, 'n': 30, 'trace_an': -3240000}
  • id: 40307605
    {'hecke_orbit_code': 18014398677254534, 'n': 31, 'trace_an': 12118}
  • id: 40307606
    {'hecke_orbit_code': 18014398677254534, 'n': 32, 'trace_an': -4194304}
  • id: 40307607
    {'hecke_orbit_code': 18014398677254534, 'n': 33, 'trace_an': -851148}
  • id: 40307608
    {'hecke_orbit_code': 18014398677254534, 'n': 34, 'trace_an': 6188672}
  • id: 40307609
    {'hecke_orbit_code': 18014398677254534, 'n': 35, 'trace_an': -1448750}
  • id: 40307610
    {'hecke_orbit_code': 18014398677254534, 'n': 36, 'trace_an': 6718464}
  • id: 40307611
    {'hecke_orbit_code': 18014398677254534, 'n': 37, 'trace_an': 983622}
  • id: 40307612
    {'hecke_orbit_code': 18014398677254534, 'n': 38, 'trace_an': 3655616}
  • id: 40307613
    {'hecke_orbit_code': 18014398677254534, 'n': 39, 'trace_an': -9253764}
  • id: 40307614
    {'hecke_orbit_code': 18014398677254534, 'n': 40, 'trace_an': -10240000}
  • id: 40307615
    {'hecke_orbit_code': 18014398677254534, 'n': 41, 'trace_an': -5900234}
  • id: 40307616
    {'hecke_orbit_code': 18014398677254534, 'n': 42, 'trace_an': 3004128}
  • id: 40307617
    {'hecke_orbit_code': 18014398677254534, 'n': 43, 'trace_an': -7525148}
  • id: 40307618
    {'hecke_orbit_code': 18014398677254534, 'n': 44, 'trace_an': -2690048}
  • id: 40307619
    {'hecke_orbit_code': 18014398677254534, 'n': 45, 'trace_an': 16402500}
  • id: 40307620
    {'hecke_orbit_code': 18014398677254534, 'n': 46, 'trace_an': -5777408}
  • id: 40307621
    {'hecke_orbit_code': 18014398677254534, 'n': 47, 'trace_an': 52858086}
  • id: 40307622
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