Embedded newform data - 320.10.a.q.1.2

Formats: - HTML - YAML - JSON - 2025-10-05T23:37:28.818841

• 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': 32000, 'analytic_conductor': 164.8114675724394, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, -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': [320, 1, [191, 261, 257], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 184, 'field_disc_factorization': [[2, 3], [23, 1]], 'field_poly': [-46, 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': [[3, [-23580, -108, 1]]], 'hecke_orbit': 17, 'hecke_orbit_code': 72057594205700416, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 24, 'hecke_ring_index_factorization': [[2, 3], [3, 1]], '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': '320.10.a.q', 'level': 320, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'minimal_twist': '40.10.a.c', 'nf_label': '2.2.184.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(54+\\beta )q^{3}+5^{4}q^{5}+(454-13\\beta )q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '320.10.a', 'trace_display': [0, 108, 1250, 908], 'trace_hash': 1277623943971692171, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.910', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.388', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '66.113', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, 'traces': [2, 0, 108, 0, 1250, 0, 908, 0, 19458, 0, 25120, 0, -146948, 0, 67500, 0, 169268, 0, -25480, 0, -639864, 0, -1782748, 0, 781250, 0, 4648104, 0, -7323340, 0, -10677272, 0, 8457408, 0, 567500, 0, 5750460, 0, -36974808, 0, -7795764, 0, 16770524, 0, 12161250, 0, -15393892, 0, -71339334, 0, 11472120, 0, 58529292, 0, 15700000, 0, -171798192, 0, 59618264, 0, 188163772, 0, -65566836, 0, -91842500, 0, -105998252, 0, 117448344, 0, 168665592, 0, -390212412, 0, 42187500, 0, -80907584, 0, -466946256, 0, -350427222, 0, 329535164, 0, 105792500, 0, -1565947656, 0, -108334860, 0, 310800616, 0, -1518028560, 0, -15925000, 0, 2043058628, 0, 1011292704, 0, -88971852, 0, 1040362708, 0, -399915000, 0, -109935420, 0, -363973828, 0, 4480783272, 0, 1930435956, 0, -1114217500, 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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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-0.17368632466759126, -0.2964992121345136, -0.3468870637887673, -0.32226274244683223, -0.33396463337111754, -0.20123270211607458, -0.3023504609443759, -0.3190024038190277, -0.29760522797844, -0.20226851950475064, -0.19312281052853245, -0.2881504757106264, -0.391518719597321, -0.381992497562994, -0.2741697007810741, -0.3071137908759299, -0.10372647904845685, -0.3306787089393406, -0.18044439517940475, -0.279222670894701, -0.08384565582193962, -0.10688766152535562, -0.2106463099048949, -0.3320329619522387, -0.21390261143539965, -0.26994958493790777, -0.352937223842976, -0.22762483071676815, -0.1711382949384452, -0.42436282460062846, -0.12023064512923076, -0.15613839794202206, -0.26516741513285846, -0.19528298800992047, -0.16163186025664786, -0.18004299121353437, -0.28732871595100873, -0.19555685986251584, -0.3232361365988588, -0.27285480489813124, -0.24186110163050814, -0.3597068404400786, -0.14737482557271023, -0.31279483793335616, -0.2964594798304624, -0.1579719283895226, -0.3428631697282351, -0.23792578635423128, -0.3361316474591523, -0.122537693625779, -0.1616228614667835, -0.0863561530801116, -0.12799340688335936, -0.3919100318865207, -0.2992704428405772, -0.1563760607628994, -0.2583969251079814, -0.20169926893882673, -0.1019127028933588, -0.2941537949583443, -0.10449449601789505, -0.21212101719619755, -0.21894739252158474, -0.3535117182182082, -0.2131178418047745, -0.33663221272295707, -0.20180523831405228, -0.2527430764703626, -0.23590324925517808, -0.28234503556522816, -0.25332783524026775, -0.2894892126723352, -0.25843106121620374, -0.2622932719900747, -0.17064305547294828, -0.26888607298290146, -0.3760515740576126, -0.28581664440077226, -0.15028906058869557, -0.3234650930632764, -0.26537935753501524, -0.43370485964616934, -0.23163261937978433, -0.1891643817835969, -0.2490217430859799, -0.136226854732089, -0.355455115668089, -0.08407647011934141, -0.25156859468473297, -0.32038874744571305, -0.1825793326534208, -0.24929312140775592, -0.09971027112379109, -0.28703627126200254, -0.31696054091165926, -0.16760133484374126, -0.22582047446115708, -0.17887842230794837, -0.09563846096625042, -0.23996055039714267, -0.37950314442148236, -0.3375288442859844, -0.05713350307402707, -0.32975092140077145, -0.1907815011782692, -0.21452358714340158, -0.27944462572073586, -0.38227438763871213, -0.2984254615497527, -0.2877517425047205, -0.1644659047616684, -0.036326030822576495, -0.2593853583150856, -0.20948135154931152, -0.2418478963740048, -0.2771299368946677, -0.22119199265089887, -0.33272161135369666, -0.3014782943225089], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 0.0, 'embedding_root_real': 6.782329983125268, 'hecke_orbit': 17, 'hecke_orbit_code': 72057594205700416, 'label': '320.10.a.q.1.2', 'level': 320, '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': [17, 19, 19, 17], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [6, 6, 6, 6], 'ALdims_old': [85, 87, 89, 87], 'Nk2': 32000, 'analytic_conductor': 164.8114675724394, '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': [320, 1, [191, 261, 257], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 420, 'dim': 72, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 167772480, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 5, 5, 6], 'label': '320.10.a', 'level': 320, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5], 'level_radical': 10, 'mf_dim': 444, 'mf_new_dim': 72, 'num_forms': 30, 'plus_dim': 34, 'prim_orbit_index': 1, 'relative_dim': 72, 'sturm_bound': 480, 'trace_bound': 9, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, 472392, 0, 0, 0, -389232, 0, 0, 0, 0, 0, 0, 0, 4075920, 0, 0, 0, 28125000, 0, 0, 0, 1266800, 0, 0, 0, 75632, 0, 0, 0, -36431872, 0, 0, 0, 16285040, 0, 0, 0, 0, 0, 0, 0, 415065672, 0, 0, 0, -149815696, 0, 0, 0, -219408016, 0, 0, 0, -508852224, 0, 0, 0, 0, 0, 0, 0, 382360176, 0, 0, 0, 0, 0, 0, 0, 412088432, 0, 0, 0, 2907318568, 0, 0, 0, -429210000, 0, 0, 0, 1031190896, 0, 0, 0, -2691890976, 0, 0, 0, 0, 0, 0, 0, 4792641360, 0, 0, 0, 277190000, 0, 0, 0, 7463710496, 0, 0, 0, 8092171408, 0, 0, 0, -6381039216, 0, 0, 0, 9781997672, 0, 0, 0, 0, 0, 0, 0, -2243979264, 0, 0, 0, -7486540848, 0, 0, 0, -12432978000, 0, 0, 0, -6536740752, 0, 0, 0, 0, 0, 0, 0, -862782688, 0, 0, 0, 9474060288, 0, 0, 0, 27337707072, 0, 0, 0, -5248616448, 0, 0, 0, -34664370000, 0, 0, 0, 65455957688, 0, 0, 0, -18372372480, 0, 0, 0, 5001063568, 0, 0, 0, 45186196656, 0, 0, 0, 19544390000, 0, 0, 0, 32610287392, 0, 0, 0, 93661884992, 0, 0, 0, -11135432880, 0, 0, 0, 21841954816, 0, 0, 0, 0, 0, 0, 0, -6094801184, 0, 0, 0, 149717812096, 0, 0, 0, -55730868224, 0, 0, 0, 29490163264, 0, 0, 0, 184528125000, 0, 0, 0, 234880232848, 0, 0, 0, 176969785344, 0, 0, 0, 326665587136, 0, 0, 0, -17666157136, 0, 0, 0, 118859980000, 0, 0, 0, 131205682464, 0, 0, 0, -141003915952, 0, 0, 0, 113912340048, 0, 0, 0, 514405653552, 0, 0, 0, -156778380000, 0, 0, 0, 93314750912, 0, 0, 0, -208186698016, 0, 0, 0, 310346623776, 0, 0, 0, -152985119664, 0, 0, 0, 209853990000, 0, 0, 0, -57944745320, 0, 0, 0, 132568863072, 0, 0, 0, 490665328800, 0, 0, 0, 1287410856496, 0, 0, 0, 268179590000, 0, 0, 0, -682190578064, 0, 0, 0, 786676971888, 0, 0, 0, 137510327408, 0, 0, 0, 683074764512, 0, 0, 0, -152043750000, 0, 0, 0, -581734495520, 0, 0, 0, 621616473216, 0, 0, 0, 132338772848, 0, 0, 0, 410489540512, 0, 0, 0, -181726790000, 0, 0, 0, -1287876842160, 0, 0, 0, -384144915152, 0, 0, 0, -3549669495584, 0, 0, 0, 2296835012200, 0, 0, 0, -369910770000, 0, 0, 0, 2197081157040, 0, 0, 0, 1813419964512, 0, 0, 0, -18065363680, 0, 0, 0, -2516131910992, 0, 0, 0, -11996410000, 0, 0, 0, -1361098329664, 0, 0, 0, -3260021216624, 0, 0, 0, -104349126768, 0, 0, 0, -844316502896, 0, 0, 0, 1130059160000, 0, 0, 0, 453373235568, 0, 0, 0, -5964048327568, 0, 0, 0, -3230909154032, 0, 0, 0, -3190564560800, 0, 0, 0, 0, 0, 0, 0, 6900504555296, 0, 0, 0, -136847614528, 0, 0, 0, 5313109367536, 0, 0, 0, 969641105672, 0, 0, 0, -1196560820000, 0, 0, 0, -63274289904, 0, 0, 0, 5952171045120, 0, 0, 0, -1586209281392, 0, 0, 0, 6805537597776, 0, 0, 0, 1670092020000, 0, 0, 0, -7687468058224, 0, 0, 0, -7149775504464, 0, 0, 0, -11472934302608, 0, 0, 0, -1919246082048, 0, 0, 0, -1284699570000, 0, 0, 0, -1654123782304, 0, 0, 0, 12993585034816, 0, 0, 0, -9055530445088, 0, 0, 0, 5695347827792, 0, 0, 0, 925795980000, 0, 0, 0, -17730575093296, 0, 0, 0, 795042074912, 0, 0, 0, -10825109642192, 0, 0, 0, 3475337794192, 0, 0, 0, 1592156250000, 0, 0, 0, -35443412408, 0, 0, 0, 5308747311200, 0, 0, 0, 1149673231856, 0, 0, 0, -12745018053744, 0, 0, 0, 1842159610000, 0, 0, 0, -14181545674752, 0, 0, 0, -6574833037312, 0, 0, 0, 22918819908960, 0, 0, 0, -15280491571488, 0, 0, 0, 2203441560000, 0, 0, 0, -3987223874640, 0, 0, 0, -39676169810848, 0, 0, 0, -3144802354448, 0, 0, 0, -24213599411504, 0, 0, 0, 0, 0, 0, 0, 30328443576544, 0, 0, 0, 382218877200, 0, 0, 0, 19360992741728, 0, 0, 0, 3601135522896, 0, 0, 0, -10045243240000, 0, 0, 0, 647357612640, 0, 0, 0, -24135368350416, 0, 0, 0, -2662682294848, 0, 0, 0, 77684919404768, 0, 0, 0, 10986328125000, 0, 0, 0, 38508824150816, 0, 0, 0, -15313821709232, 0, 0, 0, -47477692275824, 0, 0, 0, -8469957025936, 0, 0, 0, -3577975140000, 0, 0, 0, 12872672499296, 0, 0, 0, 51734886754192, 0, 0, 0, 20126980595712, 0, 0, 0, 23710240360000, 0, 0, 0, -587806790000, 0, 0, 0, -108461611578480, 0, 0, 0, 6579560259296, 0, 0, 0, -20500106270800, 0, 0, 0, -11146970916288, 0, 0, 0, 4030775220000, 0, 0, 0, 27549693854880, 0, 0, 0, 76680291478896, 0, 0, 0, 3572412050304, 0, 0, 0, -85787089595040, 0, 0, 0, -6682958830000, 0, 0, 0, -52492606633360, 0, 0, 0, 6916983020416, 0, 0, 0, 148657555032512, 0, 0, 0, -20472843487808, 0, 0, 0, 494843750000, 0, 0, 0, 68582254055400, 0, 0, 0, -83532116307296, 0, 0, 0, 44736940727568, 0, 0, 0, -21778628431328, 0, 0, 0, 1310501970000, 0, 0, 0, 125844167014960, 0, 0, 0, 50817461224880, 0, 0, 0, -17852883861952, 0, 0, 0, 4060049107728, 0, 0, 0, -39798798810000, 0, 0, 0, 13746231024048, 0, 0, 0, -41098110896048, 0, 0, 0, 30183831026080, 0, 0, 0, 152775608488160, 0, 0, 0, 11831417990000, 0, 0, 0, 113926504506544, 0, 0, 0, 17896377376768, 0, 0, 0, -146879568700080, 0, 0, 0, 36410395919344, 0, 0, 0, -965277540000, 0, 0, 0, 44790500253456, 0, 0, 0, 223668147950944, 0, 0, 0, -71287436340368, 0, 0, 0, 52655127605152, 0, 0, 0, 29543750000, 0, 0, 0, -175185676167168, 0, 0, 0, -43328781467072, 0, 0, 0, -7976118380096, 0, 0, 0, 57411068465272, 0, 0, 0, 41308756840000, 0, 0, 0, -96909953064960, 0, 0, 0, 160646796888208, 0, 0, 0, -40220224867248, 0, 0, 0, -285068705727584, 0, 0, 0, -31596234770000, 0, 0, 0, -160188376041920, 0, 0, 0, -85409374190464, 0, 0, 0, 203048098280544, 0, 0, 0, 22836583595152, 0, 0, 0, -3547714870000, 0, 0, 0, -11027707863200, 0, 0, 0, -237949121761968, 0, 0, 0, 45440937203744, 0, 0, 0, -160289975377024, 0, 0, 0, 2956996840000, 0, 0, 0, 338154065641360, 0, 0, 0, -16710281627344, 0, 0, 0, 161798841351696, 0, 0, 0, -190656480366016, 0, 0, 0, -14231200000000, 0, 0, 0, 28917071910480, 0, 0, 0, -231804599646400, 0, 0, 0, -26956911785248, 0, 0, 0, 165082317428144, 0, 0, 0, -8560120820000, 0, 0, 0, 178443893323328, 0, 0, 0, 17825398706384, 0, 0, 0, -228607216854560, 0, 0, 0, 57298549553224, 0, 0, 0, 4875678030000, 0, 0, 0, -96968063064480, 0, 0, 0, 430658280744176, 0, 0, 0, 36377424739744, 0, 0, 0, 220679594511392, 0, 0, 0, 7961835240000, 0, 0, 0, -383290337190320, 0, 0, 0, -234800887339152, 0, 0, 0, -1585259680368, 0, 0, 0], 'weight': 10, '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: 48052718
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 72057594205700416, 'target_is_minimal': False, 'target_label': '320.10.a.q.1.2', 'target_level': 320, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 10}
  • id: 48052719
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795323588928, 'target_is_minimal': False, 'target_label': '320.10.a.n.1.1', 'target_level': 320, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 48052720
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007199422513192, 'target_is_minimal': True, 'target_label': '40.10.a.c.1.2', 'target_level': 40, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 48052721
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597931995216, 'target_is_minimal': False, 'target_label': '80.10.a.g.1.1', 'target_level': 80, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 10}
  • id: 48052722
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021597931995496, 'target_is_minimal': False, 'target_label': '360.10.a.g.1.2', 'target_level': 360, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 10}
  • id: 48052723
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 13510936488837320, 'target_is_minimal': False, 'target_label': '200.10.c.d.49.4', 'target_level': 200, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.3', 'twisting_conrey_index': 3, 'weight': 10}
  • id: 48052724
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043333135171984, 'target_is_minimal': False, 'target_label': '400.10.c.m.49.1', 'target_level': 400, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 10}
  • id: 48052725
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199422513352, 'target_is_minimal': False, 'target_label': '200.10.a.c.1.1', 'target_level': 200, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 10}
  • id: 48052726
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510936488837320, 'target_is_minimal': False, 'target_label': '200.10.c.d.49.1', 'target_level': 200, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.27', 'twisting_conrey_index': 27, 'weight': 10}
  • id: 48052727
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 1, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 76561193833070992, 'target_is_minimal': False, 'target_label': '400.10.a.r.1.2', 'target_level': 400, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 10}
  • id: 48052728
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 72057594205700416, 'source_is_minimal': False, 'source_label': '320.10.a.q.1.2', 'source_level': 320, 'target_conrey_index': 49, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 54043333135171984, 'target_is_minimal': False, 'target_label': '400.10.c.m.49.4', 'target_level': 400, 'twist_class_label': '40.10.a.c.1.2', 'twist_class_level': 40, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 705175
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 72057594205700416, 'p': 2}
  • id: 705176
    {'charpoly_factorization': [[[-23580, -108, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 3}
  • id: 705177
    {'charpoly_factorization': [[[-625, 1], 2]], 'hecke_orbit_code': 72057594205700416, 'p': 5}
  • id: 705178
    {'charpoly_factorization': [[[-4271708, -908, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 7}
  • id: 705179
    {'charpoly_factorization': [[[-318008576, -25120, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 11}
  • id: 705180
    {'charpoly_factorization': [[[-2558426108, 146948, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 13}
  • id: 705181
    {'charpoly_factorization': [[[7111617700, -169268, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 17}
  • id: 705182
    {'charpoly_factorization': [[[-273876705776, 25480, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 19}
  • id: 705183
    {'charpoly_factorization': [[[363587809732, 1782748, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 23}
  • id: 705184
    {'charpoly_factorization': [[[480965491876, 7323340, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 29}
  • id: 705185
    {'charpoly_factorization': [[[20138081829520, 10677272, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 31}
  • id: 705186
    {'charpoly_factorization': [[[-155824381229436, -5750460, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 37}
  • id: 705187
    {'charpoly_factorization': [[[-149515623312732, 7795764, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 41}
  • id: 705188
    {'charpoly_factorization': [[[69358444830148, -16770524, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 43}
  • id: 705189
    {'charpoly_factorization': [[[-1140541264087484, 15393892, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 47}
  • id: 705190
    {'charpoly_factorization': [[[-3159993495352284, -58529292, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 53}
  • id: 705191
    {'charpoly_factorization': [[[-5892235443504752, -59618264, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 59}
  • id: 705192
    {'charpoly_factorization': [[[-1064215924500860, -188163772, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 61}
  • id: 705193
    {'charpoly_factorization': [[[-32417374235221148, 105998252, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 67}
  • id: 705194
    {'charpoly_factorization': [[[-23222909711136240, -168665592, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 71}
  • id: 705195
    {'charpoly_factorization': [[[12951572879873412, 390212412, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 73}
  • id: 705196
    {'charpoly_factorization': [[[36896054402249280, 466946256, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 79}
  • id: 705197
    {'charpoly_factorization': [[[-3307865413115132, -329535164, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 83}
  • id: 705198
    {'charpoly_factorization': [[[-1180477196286838236, 108334860, 1], 1]], 'hecke_orbit_code': 72057594205700416, 'p': 89}
  • id: 705199
    {'charpoly_factorization': [[[988755403101470596, -2043058628, 1], 1]], 'hecke_orbit_code': 72057594205700416, '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': '320.10.a.q', 'level': 320, 'portrait': 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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62016469
    {'hecke_orbit_code': 72057594205700416, 'n': 1, 'trace_an': 2}
  • id: 62016470
    {'hecke_orbit_code': 72057594205700416, 'n': 2, 'trace_an': 0}
  • id: 62016471
    {'hecke_orbit_code': 72057594205700416, 'n': 3, 'trace_an': 108}
  • id: 62016472
    {'hecke_orbit_code': 72057594205700416, 'n': 4, 'trace_an': 0}
  • id: 62016473
    {'hecke_orbit_code': 72057594205700416, 'n': 5, 'trace_an': 1250}
  • id: 62016474
    {'hecke_orbit_code': 72057594205700416, 'n': 6, 'trace_an': 0}
  • id: 62016475
    {'hecke_orbit_code': 72057594205700416, 'n': 7, 'trace_an': 908}
  • id: 62016476
    {'hecke_orbit_code': 72057594205700416, 'n': 8, 'trace_an': 0}
  • id: 62016477
    {'hecke_orbit_code': 72057594205700416, 'n': 9, 'trace_an': 19458}
  • id: 62016478
    {'hecke_orbit_code': 72057594205700416, 'n': 10, 'trace_an': 0}
  • id: 62016479
    {'hecke_orbit_code': 72057594205700416, 'n': 11, 'trace_an': 25120}
  • id: 62016480
    {'hecke_orbit_code': 72057594205700416, 'n': 12, 'trace_an': 0}
  • id: 62016481
    {'hecke_orbit_code': 72057594205700416, 'n': 13, 'trace_an': -146948}
  • id: 62016482
    {'hecke_orbit_code': 72057594205700416, 'n': 14, 'trace_an': 0}
  • id: 62016483
    {'hecke_orbit_code': 72057594205700416, 'n': 15, 'trace_an': 67500}
  • id: 62016484
    {'hecke_orbit_code': 72057594205700416, 'n': 16, 'trace_an': 0}
  • id: 62016485
    {'hecke_orbit_code': 72057594205700416, 'n': 17, 'trace_an': 169268}
  • id: 62016486
    {'hecke_orbit_code': 72057594205700416, 'n': 18, 'trace_an': 0}
  • id: 62016487
    {'hecke_orbit_code': 72057594205700416, 'n': 19, 'trace_an': -25480}
  • id: 62016488
    {'hecke_orbit_code': 72057594205700416, 'n': 20, 'trace_an': 0}
  • id: 62016489
    {'hecke_orbit_code': 72057594205700416, 'n': 21, 'trace_an': -639864}
  • id: 62016490
    {'hecke_orbit_code': 72057594205700416, 'n': 22, 'trace_an': 0}
  • id: 62016491
    {'hecke_orbit_code': 72057594205700416, 'n': 23, 'trace_an': -1782748}
  • id: 62016492
    {'hecke_orbit_code': 72057594205700416, 'n': 24, 'trace_an': 0}
  • id: 62016493
    {'hecke_orbit_code': 72057594205700416, 'n': 25, 'trace_an': 781250}
  • id: 62016494
    {'hecke_orbit_code': 72057594205700416, 'n': 26, 'trace_an': 0}
  • id: 62016495
    {'hecke_orbit_code': 72057594205700416, 'n': 27, 'trace_an': 4648104}
  • id: 62016496
    {'hecke_orbit_code': 72057594205700416, 'n': 28, 'trace_an': 0}
  • id: 62016497
    {'hecke_orbit_code': 72057594205700416, 'n': 29, 'trace_an': -7323340}
  • id: 62016498
    {'hecke_orbit_code': 72057594205700416, 'n': 30, 'trace_an': 0}
  • id: 62016499
    {'hecke_orbit_code': 72057594205700416, 'n': 31, 'trace_an': -10677272}
  • id: 62016500
    {'hecke_orbit_code': 72057594205700416, 'n': 32, 'trace_an': 0}
  • id: 62016501
    {'hecke_orbit_code': 72057594205700416, 'n': 33, 'trace_an': 8457408}
  • id: 62016502
    {'hecke_orbit_code': 72057594205700416, 'n': 34, 'trace_an': 0}
  • id: 62016503
    {'hecke_orbit_code': 72057594205700416, 'n': 35, 'trace_an': 567500}
  • id: 62016504
    {'hecke_orbit_code': 72057594205700416, 'n': 36, 'trace_an': 0}
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