Embedded newform data - 144.14.a.t.1.3

Formats: - HTML - YAML - JSON - 2025-12-23T13:45:39.600965

• 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': 28224, 'analytic_conductor': 154.41253769075428, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, 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': [144, 1, [127, 37, 65], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 39826799569, 'field_disc_factorization': [[71, 1], [127, 1], [4416857, 1]], 'field_poly': [-625725, -14629, 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': 0, 'hecke_cutters': [[5, [-27047793152000, -1271159040, 50256, 1]]], 'hecke_orbit': 20, 'hecke_orbit_code': 85568393154920592, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 331776, 'hecke_ring_index_factorization': [[2, 12], [3, 4]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '144.14.a.t', 'level': 144, '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': [2, 3], 'level_radical': 6, 'minimal_twist': '72.14.a.g', 'prim_orbit_index': 1, 'qexp_display': 'q+(-16752+\\beta _{2})q^{5}+(-4844+\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '13.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '144.14.a', 'trace_display': [0, 0, -50256, -14532], 'trace_hash': 2029353225761754546, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.820', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '20.205', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '207.986', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, 'traces': [3, 0, 0, 0, -50256, 0, -14532, 0, 0, 0, 32448, 0, 12923574, 0, 0, 0, 9909216, 0, -356030136, 0, 0, 0, 253392000, 0, 1405874241, 0, 0, 0, 2200998480, 0, 2967736956, 0, 0, 0, 13208644032, 0, -20166914670, 0, 0, 0, 31161545760, 0, 9538966728, 0, 0, 0, 111693895296, 0, 94963151355, 0, 0, 0, -33679447728, 0, -191082451968, 0, 0, 0, 299191569024, 0, -72974149830, 0, 0, 0, -1350236874144, 0, 651715795824, 0, 0, 0, 1331692113408, 0, -1221222435774, 0, 0, 0, -6117252995328, 0, -661902595332, 0, 0, 0, 6970892668992, 0, 2740394122752, 0, 0, 0, -15287064432192, 0, -4923933166536, 0, 0, 0, 32496957393024, 0, -1700880850134, 0, 0, 0, -31404949601904, 0, -431918916396, 0, 0, 0, 59591483242368, 0, 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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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-0.43428092866718143, -0.14724947784597736, -0.30448737968550804, -0.17442767146140095, -0.2705895011755392, -0.2993529576880699, -0.03739042313468389, -0.21581442193187397, -0.32922761230033143, -0.3893801657213209, -0.07079817262103519, -0.1855222690798565, -0.11272278784102285, -0.2966793419024363, -0.25175057348025376, -0.36070574521449755, -0.06263513016090361, -0.1745353292534428, -0.30948721978839955, -0.2382102917612572, -0.1386919539775388, -0.26129268704835507, -0.28148825183063164, -0.1265936102209296, -0.36736693790897496, -0.2669363105253993, -0.36067421364173596, -0.16548094323872245, -0.3396006133704606, -0.3461876349080233, -0.3426726184481116, -0.29285563606223336, -0.3770432464037238, -0.10745351391693242, -0.10687692682281288, -0.30958008946984045, -0.3643410514218299, -0.20997792059602544, -0.1310311848159285, -0.2939124055292357, -0.19269409324824144, -0.25180865880329223, -0.10533010425036513, -0.1770284994694353, -0.18672077144558805, -0.21751831272847913], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 3, 'dual_embedding_m': 3, 'embedding_index': 3, 'embedding_m': 3, 'embedding_root_imag': 0.0, 'embedding_root_real': -85.503851295294, 'hecke_orbit': 20, 'hecke_orbit_code': 85568393154920592, 'label': '144.14.a.t.1.3', 'level': 144, 'weight': 14}
• 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': [6, 10, 7, 9], 'ALdims_eis_new': [0, 0, 0, 1], 'ALdims_eis_old': [6, 6, 6, 5], 'ALdims_old': [68, 66, 69, 65], 'Nk2': 28224, 'analytic_conductor': 154.41253769075428, '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': [144, 1, [127, 37, 65], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 300, 'dim': 32, 'eis_dim': 24, 'eis_new_dim': 1, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 234881168, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3], 'label': '144.14.a', 'level': 144, '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': [2, 3], 'level_radical': 6, 'mf_dim': 324, 'mf_new_dim': 33, 'num_forms': 21, 'plus_dim': 15, 'prim_orbit_index': 1, 'relative_dim': 32, 'sturm_bound': 336, 'trace_bound': 7, 'trace_display': [0, 0, 16902, 170068], 'traces': [32, 0, 0, 0, 16902, 0, 170068, 0, 0, 0, 2952684, 0, 8510580, 0, 0, 0, 52444602, 0, -547588252, 0, 0, 0, -678198456, 0, 8336604204, 0, 0, 0, -219214674, 0, 5197237628, 0, 0, 0, 21729468384, 0, -12181051216, 0, 0, 0, -2558333646, 0, 10257973068, 0, 0, 0, 15344864352, 0, 486318581360, 0, 0, 0, 54937343142, 0, -587406016936, 0, 0, 0, -402535353780, 0, -13177074672, 0, 0, 0, -493806381228, 0, 782693463068, 0, 0, 0, -1045304331912, 0, -1172190446340, 0, 0, 0, -790348739904, 0, 1166028593772, 0, 0, 0, 1182440308500, 0, 1561774631348, 0, 0, 0, -231398888238, 0, 1271398615592, 0, 0, 0, 3975180336216, 0, 1675561670428, 0, 0, 0, -10057487769450, 0, 19351571079276, 0, 0, 0, -11979693766692, 0, -47628248780364, 0, 0, 0, 45966099656106, 0, 30688793542544, 0, 0, 0, 43955375906592, 0, 112463414421456, 0, 0, 0, 61761288250908, 0, -51571970456652, 0, 0, 0, 40882680423540, 0, 100856866014496, 0, 0, 0, -122113794105486, 0, -275786835727628, 0, 0, 0, -106936777429272, 0, -82344853779684, 0, 0, 0, -12799540633194, 0, 259464436970372, 0, 0, 0, 139256593547184, 0, -9576149112240, 0, 0, 0, 215985901995648, 0, 895207348829044, 0, 0, 0, 406296239071752, 0, 528181468584288, 0, 0, 0, 211450801083534, 0, 260886448871644, 0, 0, 0, -323319560570460, 0, 410386687248452, 0, 0, 0, 361246890440196, 0, 789674768170408, 0, 0, 0, 14906751152256, 0, 1385179127450560, 0, 0, 0, 865484273287638, 0, 3508116065394012, 0, 0, 0, 1565252087222880, 0, 1061758874488740, 0, 0, 0, -529481796337872, 0, -414919149035316, 0, 0, 0, 692931502427688, 0, -926793815715632, 0, 0, 0, 220037606979372, 0, -2880443376408156, 0, 0, 0, 771870265880580, 0, 5444941277824068, 0, 0, 0, 424159145779554, 0, -5032546005778752, 0, 0, 0, 2392760247426576, 0, 7230412646368460, 0, 0, 0, 10574245108540566, 0, -911467203433128, 0, 0, 0, 265179914384796, 0, -146435827572704, 0, 0, 0, -3036207586476582, 0, 24276009653526776, 0, 0, 0, 5075618267946024, 0, -1275252923790836, 0, 0, 0, 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9716122537452489024, 0, 2969943743727234256, 0, 0, 0, -1396568126711542590, 0, -6305308926429022812, 0, 0, 0, -12221971602390817632, 0, 4381550051702409756, 0, 0, 0, 2475949194495690876, 0, 2672946733115510388, 0, 0, 0, 13851838420528147920, 0, -982652277471633676, 0, 0, 0, -1907205427935833814, 0, -9479960292197476892, 0, 0, 0, -14010170508371471112, 0, 78665556490869424, 0, 0, 0, 1069762528821516750, 0, 7996113941975423080, 0, 0, 0, 14171514339848364900, 0, -8506337313354300176, 0, 0, 0, -808260310668447360, 0, -12216528890342536368, 0, 0, 0, -19702432272900978072, 0, -4265282753057293296, 0, 0, 0, -1718715167954650170, 0, 16878262683346125656, 0, 0, 0, 24908522777266263084, 0, -6332807371705307100, 0, 0, 0, -922734702694682604, 0, -10269539539794505180, 0, 0, 0, -36745912192542448824, 0, -9398990352490900260, 0, 0, 0, -2080676651212672146, 0, 19413363263736238616, 0, 0, 0, 34304724084311405280, 0, 2628403151214914020, 0, 0, 0, -244616084323738560, 0, -30020826369366726448, 0, 0, 0, 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0, 0, 91679923490452257708, 0, -23689849513938691788, 0, 0, 0, 56907644430150954, 0, -52132296597133474032, 0, 0, 0, -111993557788297329192, 0, 4009222733496605324, 0, 0, 0, 2894089762881137322, 0, 88370169070463290276, 0, 0, 0, 119526085824711498288, 0, 39249187007055073168, 0, 0, 0, 5067153415494425826, 0, -56609591970635625332, 0, 0, 0, -130012460487093599712, 0, -45037328272541627172, 0, 0, 0, -537718054075867872, 0, 78128999931847321032, 0, 0, 0, 194716589431409913024, 0, 44410738640765608688, 0, 0, 0, 8643788486405755146, 0, -51156784308594640732, 0, 0, 0, -152378967538663089192, 0, -6757238369343184400, 0, 0, 0, 24653090717436117888, 0, 142193041199661608136, 0, 0, 0, 158368205149462972656, 0, 13587743352418200692, 0, 0, 0, 23129574750182981700, 0, -100462518656721516612, 0, 0, 0, -139984921288988915472, 0, 634287462211182800, 0, 0, 0, -13895804810584057536, 0, 16993430955013416084, 0, 0, 0, 181997045734968207504, 0, 33341623584361660952, 0, 0, 0, 17488854480359528874, 0, -85349113953170460604, 0, 0, 0, -204795587962055946672, 0, 67804289169362755184, 0, 0, 0, -42848167352935517298, 0, 107278654337558842800, 0, 0, 0, 179919196812534632868, 0, -6801744931091851456, 0, 0, 0, 6323165044292591874, 0, -61941535018830567168, 0, 0, 0, -203610291583627580256, 0, 74015412707470664496, 0, 0, 0, 50393919582749942028, 0, 96473719758876786764, 0, 0, 0, 216310434946018243596, 0, 3701498540375119744, 0, 0, 0, -23484179331238451238, 0, -186935787889968804600, 0, 0, 0, -230214761634337742088, 0, -99790476363887847828, 0, 0, 0, -20587101727525431840, 0, 80092840512682964652, 0, 0, 0, 254306897372347290432, 0, -113442411742740025200, 0, 0, 0], 'weight': 14, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 48297495
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 85568393154920592, 'source_is_minimal': False, 'source_label': '144.14.a.t.1.3', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 85568393154920592, 'target_is_minimal': False, 'target_label': '144.14.a.t.1.3', 'target_level': 144, 'twist_class_label': '72.14.a.g.1.3', 'twist_class_level': 72, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 14}
  • id: 48297496
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 85568393154920592, 'source_is_minimal': False, 'source_label': '144.14.a.t.1.3', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 90071992782291088, 'target_is_minimal': False, 'target_label': '144.14.a.u.1.1', 'target_level': 144, 'twist_class_label': '72.14.a.g.1.3', 'twist_class_level': 72, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 14}
  • id: 48297497
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 85568393154920592, 'source_is_minimal': False, 'source_label': '144.14.a.t.1.3', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021597999104072, 'target_is_minimal': True, 'target_label': '72.14.a.g.1.3', 'target_level': 72, 'twist_class_label': '72.14.a.g.1.3', 'twist_class_level': 72, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 14}
  • id: 48297498
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 3, 'source_hecke_orbit_code': 85568393154920592, 'source_is_minimal': False, 'source_label': '144.14.a.t.1.3', 'source_level': 144, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31525197626474568, 'target_is_minimal': True, 'target_label': '72.14.a.h.1.1', 'target_level': 72, 'twist_class_label': '72.14.a.g.1.3', 'twist_class_level': 72, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 14}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 387200
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 85568393154920592, 'p': 2}
  • id: 387201
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 85568393154920592, 'p': 3}
  • id: 387202
    {'charpoly_factorization': [[[-27047793152000, -1271159040, 50256, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 5}
  • id: 387203
    {'charpoly_factorization': [[[-21610972856192832, -192709501776, 14532, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 7}
  • id: 387204
    {'charpoly_factorization': [[[90484653768663891968, -48555337814016, -32448, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 11}
  • id: 387205
    {'charpoly_factorization': [[[231580464905136799544, -99168609903156, -12923574, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 13}
  • id: 387206
    {'charpoly_factorization': [[[-749694174668867608281088, -18670807360865280, -9909216, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 17}
  • id: 387207
    {'charpoly_factorization': [[[-20378789489097320354838016, -55578130989992256, 356030136, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 19}
  • id: 387208
    {'charpoly_factorization': [[[-49699346455049845344305152, -338706520342806528, -253392000, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 23}
  • id: 387209
    {'charpoly_factorization': [[[-6440114355586328139078021120, -11688506462474148096, -2200998480, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 29}
  • id: 387210
    {'charpoly_factorization': [[[1320176610556993091400670400, -47131838109677728080, -2967736956, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 31}
  • id: 387211
    {'charpoly_factorization': [[[-4382938828180990428831792981720, -205225095317172493716, 20166914670, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 37}
  • id: 387212
    {'charpoly_factorization': [[[26856691251942452446487802839040, -862756108096966493184, -31161545760, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 41}
  • id: 387213
    {'charpoly_factorization': [[[457120977097243004051865971200, -107364185833640059200, -9538966728, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 43}
  • id: 387214
    {'charpoly_factorization': [[[327196612486201383149644736888832, -2994420274642193891328, -111693895296, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 47}
  • id: 387215
    {'charpoly_factorization': [[[-930920676514416754081399226937344, -16855531886973878565120, 33679447728, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 53}
  • id: 387216
    {'charpoly_factorization': [[[6901574402221750466878182571114496, -13968683890194688917504, -299191569024, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 59}
  • id: 387217
    {'charpoly_factorization': [[[-85340994554204248727627328060664, -741273691700871769332, 72974149830, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 61}
  • id: 387218
    {'charpoly_factorization': [[[-52936466850672814338546367200907264, -475401183219301094417664, -651715795824, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 67}
  • id: 387219
    {'charpoly_factorization': [[[209321164809476959564308837283397632, -37137734441336947605504, -1331692113408, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 71}
  • id: 387220
    {'charpoly_factorization': [[[-639377501833919937959943677668981144, -439386922466887263324756, 1221222435774, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 73}
  • id: 387221
    {'charpoly_factorization': [[[487738848396397859040308434070164672, -1556043513007587910868304, 661902595332, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 79}
  • id: 387222
    {'charpoly_factorization': [[[21678629982969485582059151760034103296, 5736976224086700936130560, -6970892668992, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 83}
  • id: 387223
    {'charpoly_factorization': [[[-25692543777501959011156591243119820800, 54305075264493175646515200, 15287064432192, 1], 1]], 'hecke_orbit_code': 85568393154920592, 'p': 89}
  • id: 387224
    {'charpoly_factorization': [[[-959900463809938092475378146314433582776, -188928635062116971656522164, 1700880850134, 1], 1]], 'hecke_orbit_code': 85568393154920592, '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': 20, 'label': '144.14.a.t', 'level': 144, 'portrait': 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', 'weight': 14}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 64149871
    {'hecke_orbit_code': 85568393154920592, 'n': 1, 'trace_an': 3}
  • id: 64149872
    {'hecke_orbit_code': 85568393154920592, 'n': 2, 'trace_an': 0}
  • id: 64149873
    {'hecke_orbit_code': 85568393154920592, 'n': 3, 'trace_an': 0}
  • id: 64149874
    {'hecke_orbit_code': 85568393154920592, 'n': 4, 'trace_an': 0}
  • id: 64149875
    {'hecke_orbit_code': 85568393154920592, 'n': 5, 'trace_an': -50256}
  • id: 64149876
    {'hecke_orbit_code': 85568393154920592, 'n': 6, 'trace_an': 0}
  • id: 64149877
    {'hecke_orbit_code': 85568393154920592, 'n': 7, 'trace_an': -14532}
  • id: 64149878
    {'hecke_orbit_code': 85568393154920592, 'n': 8, 'trace_an': 0}
  • id: 64149879
    {'hecke_orbit_code': 85568393154920592, 'n': 9, 'trace_an': 0}
  • id: 64149880
    {'hecke_orbit_code': 85568393154920592, 'n': 10, 'trace_an': 0}
  • id: 64149881
    {'hecke_orbit_code': 85568393154920592, 'n': 11, 'trace_an': 32448}
  • id: 64149882
    {'hecke_orbit_code': 85568393154920592, 'n': 12, 'trace_an': 0}
  • id: 64149883
    {'hecke_orbit_code': 85568393154920592, 'n': 13, 'trace_an': 12923574}
  • id: 64149884
    {'hecke_orbit_code': 85568393154920592, 'n': 14, 'trace_an': 0}
  • id: 64149885
    {'hecke_orbit_code': 85568393154920592, 'n': 15, 'trace_an': 0}
  • id: 64149886
    {'hecke_orbit_code': 85568393154920592, 'n': 16, 'trace_an': 0}
  • id: 64149887
    {'hecke_orbit_code': 85568393154920592, 'n': 17, 'trace_an': 9909216}
  • id: 64149888
    {'hecke_orbit_code': 85568393154920592, 'n': 18, 'trace_an': 0}
  • id: 64149889
    {'hecke_orbit_code': 85568393154920592, 'n': 19, 'trace_an': -356030136}
  • id: 64149890
    {'hecke_orbit_code': 85568393154920592, 'n': 20, 'trace_an': 0}
  • id: 64149891
    {'hecke_orbit_code': 85568393154920592, 'n': 21, 'trace_an': 0}
  • id: 64149892
    {'hecke_orbit_code': 85568393154920592, 'n': 22, 'trace_an': 0}
  • id: 64149893
    {'hecke_orbit_code': 85568393154920592, 'n': 23, 'trace_an': 253392000}
  • id: 64149894
    {'hecke_orbit_code': 85568393154920592, 'n': 24, 'trace_an': 0}
  • id: 64149895
    {'hecke_orbit_code': 85568393154920592, 'n': 25, 'trace_an': 1405874241}
  • id: 64149896
    {'hecke_orbit_code': 85568393154920592, 'n': 26, 'trace_an': 0}
  • id: 64149897
    {'hecke_orbit_code': 85568393154920592, 'n': 27, 'trace_an': 0}
  • id: 64149898
    {'hecke_orbit_code': 85568393154920592, 'n': 28, 'trace_an': 0}
  • id: 64149899
    {'hecke_orbit_code': 85568393154920592, 'n': 29, 'trace_an': 2200998480}
  • id: 64149900
    {'hecke_orbit_code': 85568393154920592, 'n': 30, 'trace_an': 0}
  • id: 64149901
    {'hecke_orbit_code': 85568393154920592, 'n': 31, 'trace_an': 2967736956}
  • id: 64149902
    {'hecke_orbit_code': 85568393154920592, 'n': 32, 'trace_an': 0}
  • id: 64149903
    {'hecke_orbit_code': 85568393154920592, 'n': 33, 'trace_an': 0}
  • id: 64149904
    {'hecke_orbit_code': 85568393154920592, 'n': 34, 'trace_an': 0}
  • id: 64149905
    {'hecke_orbit_code': 85568393154920592, 'n': 35, 'trace_an': 13208644032}
  • id: 64149906
    {'hecke_orbit_code': 85568393154920592, 'n': 36, 'trace_an': 0}
  • id: 64149907
    {'hecke_orbit_code': 85568393154920592, 'n': 37, 'trace_an': -20166914670}
  • id: 64149908
    {'hecke_orbit_code': 85568393154920592, 'n': 38, 'trace_an': 0}
  • id: 64149909
    {'hecke_orbit_code': 85568393154920592, 'n': 39, 'trace_an': 0}
  • id: 64149910
    {'hecke_orbit_code': 85568393154920592, 'n': 40, 'trace_an': 0}
  • id: 64149911
    {'hecke_orbit_code': 85568393154920592, 'n': 41, 'trace_an': 31161545760}
  • id: 64149912
    {'hecke_orbit_code': 85568393154920592, 'n': 42, 'trace_an': 0}
  • id: 64149913
    {'hecke_orbit_code': 85568393154920592, 'n': 43, 'trace_an': 9538966728}
  • id: 64149914
    {'hecke_orbit_code': 85568393154920592, 'n': 44, 'trace_an': 0}
  • id: 64149915
    {'hecke_orbit_code': 85568393154920592, 'n': 45, 'trace_an': 0}
  • id: 64149916
    {'hecke_orbit_code': 85568393154920592, 'n': 46, 'trace_an': 0}
  • id: 64149917
    {'hecke_orbit_code': 85568393154920592, 'n': 47, 'trace_an': 111693895296}
  • id: 64149918
    {'hecke_orbit_code': 85568393154920592, 'n': 48, 'trace_an': 0}
  • id: 64149919
    {'hecke_orbit_code': 85568393154920592, 'n': 49, 'trace_an': 94963151355}
  • id: 64149920
    {'hecke_orbit_code': 85568393154920592, 'n': 50, 'trace_an': 0}
  • id: 64149921
    {'hecke_orbit_code': 85568393154920592, 'n': 51, 'trace_an': 0}
  • id: 64149922
    {'hecke_orbit_code': 85568393154920592, 'n': 52, 'trace_an': 0}
  • id: 64149923
    {'hecke_orbit_code': 85568393154920592, 'n': 53, 'trace_an': -33679447728}
  • id: 64149924
    {'hecke_orbit_code': 85568393154920592, 'n': 54, 'trace_an': 0}
  • id: 64149925
    {'hecke_orbit_code': 85568393154920592, 'n': 55, 'trace_an': -191082451968}
  • id: 64149926
    {'hecke_orbit_code': 85568393154920592, 'n': 56, 'trace_an': 0}
  • id: 64149927
    {'hecke_orbit_code': 85568393154920592, 'n': 57, 'trace_an': 0}
  • id: 64149928
    {'hecke_orbit_code': 85568393154920592, 'n': 58, 'trace_an': 0}
  • id: 64149929
    {'hecke_orbit_code': 85568393154920592, 'n': 59, 'trace_an': 299191569024}
  • id: 64149930
    {'hecke_orbit_code': 85568393154920592, 'n': 60, 'trace_an': 0}
  • id: 64149931
    {'hecke_orbit_code': 85568393154920592, 'n': 61, 'trace_an': -72974149830}
  • id: 64149932
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