Embedded newform data - 50.11.c.e.43.2

Formats: - HTML - YAML - JSON - 2026-08-09T00:55:26.711772

• 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': 6050, 'analytic_conductor': 31.767862633686203, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 4, 'char_parity': -1, 'char_values': [50, 4, [27], [1]], 'cm_discs': [], 'conrey_index': 7, 'dim': 6, 'field_disc': -2246896514073600, 'field_disc_factorization': [[-1, 1], [2, 10], [3, 2], [5, 2], [17, 2], [37, 2], [157, 2]], 'field_poly': [658952, -299628, 68121, -1148, 0, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1112900707872, 258527462832, 30028037796, -20688696, 8192, 128, 1]]], 'hecke_orbit': 5, 'hecke_orbit_code': 18014536132984882, 'hecke_ring_generator_nbound': 9, 'hecke_ring_index': 200000000, 'hecke_ring_index_factorization': [[2, 9], [5, 8]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 3, -1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '50.11.c.e', 'level': 50, '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': '10.11.c.c', 'prim_orbit_index': 3, 'qexp_display': 'q+(2^{4}+2^{4}\\beta _{1})q^{2}+(-21+21\\beta _{1}+\\beta _{3}+\\cdots)q^{3}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '10.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '50.11.c', 'trace_display': [96, -128, 0, -13512], 'trace_hash': 2248339395955545521, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.043', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.718', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '140.270', 'prec': 20}, 0, {'__RealLiteral__': 0, 'data': '5808.873', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.247', 'prec': 10}, 'traces': [6, 96, -128, 0, 0, -4096, -13512, -49152, 0, 0, 647832, -65536, 742902, 0, 0, -1572864, 755118, 5683744, 0, 0, 12277112, 10365312, 15052992, 0, 0, 23772864, 47998120, 6918144, 0, 0, 153847152, -25165824, 173025784, 0, 0, 181879808, 32574498, 17493120, 0, 0, 226153272, 196433792, 63628752, 0, 0, 481695744, 19700448, 33554432, 0, 0, 2388638032, 380365824, 950001042, 0, 0, 221380608, 338012560, 310652160, 0, 0, 1603984392, 2461554432, 5135206432, 0, 0, 5536825088, -2502647712, -386620416, 0, 0, -7137533808, 2910076928, -2304462438, 0, 0, 559779840, -597969864, -11288293632, 0, 0, -26068931054, 3618452352, 88180632, 0, 0, 2036120064, -35176248320, -5307039744, 0, 0, -43718253408, 7707131904, -22042053176, 0, 0, 1073741824, -33281088582, -12874047264, 0, 0, -36956782428, 38218208512, -23439868848, 0, 0, 30400033344, 3352011648, -24575037440, 0, 0, 17712493152, 3542089728, 97668290382, 0, 0, 9940869120, -2378241378, 180232320, 0, 0, 17982530298, 25663750272, 143031797464, 0, 0, 164326605824, 89592989928, 12884901888, 0, 0, 175918010472, 88589201408, 21482423760, 0, 0, -12371853312, -129443295942, 90896134528, 0, 0, 258105376152, -114200540928, -69432740856, 0, 0, -73742798016, 206127212248, -16678142976, 0, 0, 145087688112, 8956477440, -268375555798, 0, 0, -361225396224, 268902265638, 91058227200, 0, 0, -292608367368, -417102896864, -10972152288, 0, 0, 2821780224, -427761290112, -100574101504, 0, 0, -282664684280, 32577921024, -111541735278, 0, 0, -169825271808, 387895921360, 417719953920, 0, 0, 148080779052, -699492054528, -647742601896, 0, 0, -705345701632, 773353693896, -10086629376, 0, 0, -745914569808, 17179869184, -567316837458, 0, 0, -411969512448, -472464621342, -9195055232, 0, 0, -171260456488, -591308518848, 913539401280, 0, 0, -750075803136, 529352436712, -194747301888, 0, 0, 1941191133912, 486400533504, -1119786698296, 0, 0, -786401198080, -727797727704, 675297149760, 0, 0, -1488034052388, 283399890432, -446628916248, 0, 0, 3125385292224, -297580751592, -173062430720, 0, 0, 3524323373264, 159053905920, 48416456142, 0, 0, 5767434240, 226698864000, 200666237952, 0, 0, 1688030445912, 287720484768, 5212799829872, 0, 0, 4577017518848, -57276161640, -1260315869184, 0, 0, -3921714696888, 2629225693184, 3633273314424, 0, 0, 412316860416, 1073384004078, -2011318280832, 0, 0, 1506241311760, 2814688167552, 3548497523592, 0, 0, 687437560320, 1121388210560, 1281355628544, 0, 0, 3515569059072, -197949652992, -4456967316696, 0, 0, 2908676304896, -7425363401082, 671403922560, 0, 0, -5176763951688, 4129686018432, -779915160888, 0, 0, -2221847707392, -3408974247144, -1489959387136, 0, 0, -13959856359168, -1179884768256, -8527763673258, 0, 0, -533700575232, -7620736122560, -6976438996800, 0, 0, -12299167979208, 2321403009792, 1997817058064, 0, 0, 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-4448181146880, 0, 0, -4843050668148, -2740167303808, 37907379681984, 0, 0, 29233260840960, 14302449857256, -19567722758144, 0, 0, -30927232334208, -12001212850176, -58193622979440, 0, 0, -6231913660416, -35905350422320, -1717207541760, 0, 0, -38205266708088, 31059058142592, 26925278842872, 0, 0, -35833174345472, -34156009516584, -1716229963776, 0, 0, -30677121715488, -12582419169280, 7045424271642, 0, 0, 21609508792320, 4371897398160, -26626863368192, 0, 0, -149639011153994, -23808544838208, 7386974252232, 0, 0, -14292125319936, 25828530798600, -1813549940736, 0, 0, 113608585179984, 50006164675584, -45431618376056, 0, 0, -5537997783040, -84361966158642, -6149373477120, 0, 0, -66776690396988, 56389173972224, 7561572638352, 0, 0, 1549326596544, 50766462198888, 1217659585536, 0, 0, -116391888774288, 92278947840, -15801195864456, 0, 0, 6421319614464, -115207153824838, -5255811505920, 0, 0, 64091657978532, 27008487134592, 54293111186584, 0, 0, 166809594555904, -6642676446552, -13139840139264, 0, 0, -114894102243048, 73232280301568, 116769806766480, 0, 0, -40330107813888, -45530726372184, -70185823658112, 0, 0, 85153743221912, -62747435150208, -27532336971888, 0, 0, 116264746061568, 14229297762112, -45871610843136, 0, 0, 35115218567952, 6597069766656, 40061013312800, 0, 0, -64362184986624, 56378341883256, 88722756310272, 0, 0, 68063074927812, 24099860988160, 24364741759032, 0, 0, 113551920754944, -43611493870944, -45357671120896, 0, 0, 256855883928520, 10999000965120, -43864171143576, 0, 0, 41003380113408, 243246260654960, -27495416727360, 0, 0, -32137586658108, 56249104945152, 106649585294624, 0, 0, -142622954134272, -98710446469512, 66274967522304, 0, 0, 18766142491200, 46538820878336, -58022364912000, 0, 0, 21484925521920, -144285430647582, 179967599554048, 0, 0, 120285963401104, -82828223227008, 37058410024272, 0, 0, -24957285148416, 154036988327008, 58470676955136, 0, 0, 89301057446712, -35549563318272, 51597813573704, 0, 0, -47678700388352, 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162880913178144, 0, 0, -528667240063296, -314578431659520, 219013780537344, 0, 0, -111754611160176, -51493939970048, 779880838590522, 0, 0, 195050111167488, 269062771967778, -179045918163712, 0, 0, 1429208424183992, 108691576322304, -368680248104688, 0, 0, 706942877264640, 252673317949440, -16679895564288, 0, 0, -11782079294088, -57109368462336, 875670416238904, 0, 0, 576327652474880, 654700711352616, 316569038557440, 0, 0, 389060551270632, 699956362932480, -76909062828840, 0, 0, -229699728728256, -577435860219744, -198602711736320, 0, 0, -90560116905600, 213872616407040, 227718729057864, 0, 0, 497275553034240, -252888107840160, -81523173849600, 0, 0, -808994784481608, 568757389881696, 695787166995544, 0, 0, 972981207608832, 579247995596568, 358139931918336, 0, 0, -187571131887888, -331644212170752, 232799639470002, 0, 0, -126273649115136, -216313545038664, -622441884409472, 0, 0, 327114524190240, 121725653920512, -81659974643208, 0, 0, 187653415600704, -955756418259648, -395957091274752, 0, 0, -371639386291728, -5164354240512, 425440000297944, 0, 0, 52332282920960, -104550751405722, 76925090290560, 0, 0, 619052343601932, 122631391021952, -199311322808520, 0, 0, -350942882777856, -1044834865913640, -8796093022208, 0, 0, -1809375166506928, -290466220778496, -1010591308729578, 0, 0, 545277355327488, -117221526509304, -1144514180571840, 0, 0, -1364883399918576, 524615334604032, -1978814741320000, 0, 0, -1548074142852352, 704304966349008, 241901886127104, 0, 0, 116319947643072, -4707868278784, 1050291894855864, 0, 0, -142341796700160, -520209921456762, 20425788221440, 0, 0, -434616057971680, -77488810690368, -770579097021336, 0, 0, 1213036149823488, -1566490356244280, 302749961650176, 0, 0, -1663455160482168, 467732173455360, 1481313796937064, 0, 0, -626167128260608, 63025090727760, 909160740177600, 0, 0, -158025514122648, -494835717347328, -1640831054689248, 0, 0, -1862195935342080, 331524118831848, -271028447596544, 0, 0, 1184618071416432, 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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

  
  {'an_normalized': [[1.0, 0.0], [0.5, -0.5], [-0.01766285119821218, -0.01766285119821218], [0.0, -0.5], [0.0, 0.0], [-0.01766285119821218, 0.0], [-1.2664176177779827, 1.2664176177779827], [-0.25, -0.25], [0.0, -0.9993760473750997], [0.0, 0.0], [0.9664555496182683, 0.0], [-0.00883142559910609, 0.00883142559910609], [0.9658525145942232, 0.9658525145942232], [0.0, 1.2664176177779827], [0.0, 0.0], [-0.25, 0.0], [0.4291959928049701, -0.4291959928049701], [-0.49968802368754983, -0.49968802368754983], [0.0, -0.13538489974127565], [0.0, 0.0], [0.044737091875213714, 0.0], [0.48322777480913415, -0.48322777480913415], [0.8547268926556159, 0.8547268926556159], [0.0, 0.00883142559910609], [0.0, 0.0], [0.9658525145942232, 0.0], [-0.03531468161405601, 0.03531468161405601], [0.6332088088889913, 0.6332088088889913], [0.0, -0.06524023045411195], [0.0, 0.0], [0.9057426097826993, 0.0], [-0.125, 0.125], [-0.017070360562593843, -0.017070360562593843], [0.0, -0.4291959928049701], [0.0, 0.0], 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-1.1038135826184607], [0.0, -0.9658525271412345], [0.0, 0.0]], 'angles': [None, -0.12698782082215243, None, 0.30158821725823237, -0.16973214958558427, -0.00534596994716501, -0.325924485527583, -0.4892181670696986, -0.021709807883784512, -0.49480742626095275, -0.17519985092054036, -0.28006461280215866, -0.1492630481835527, -0.050820473969451434, -0.43267394027229755, -0.11880955179579379, 0.10460186870538374, -0.19342378659012532, -0.3174746151940584, -0.2745584501544954, -0.17418909301554134, 0.04431501319144762, -0.18227234750411175, 0.12171544354265534, 0.32842154123292605, -0.20694076385378135, -0.10371917268053249, -0.4026794236053745, 0.00989397860347491, -0.06021315638679047, -0.4106570926468162, -0.16507785503941055, -0.3701207905084937, -0.4232896101707179, -0.36945987493777754, -0.06142297049850103, -0.3004800330090988, -0.46723244491723187, -0.3911188178300989, -0.11083936954887903, 0.11175980093911138, -0.08685809475694077, -0.39242126823545387, -0.21276490219093683, -0.38903777377457677, -0.4300086985136405, -0.24538183918195036, 0.0009162815646636052, -0.3561129679770729, -0.4592330141628827, -0.22990400686217086, -0.4696038725486463, -0.2584032390349929, -0.19858473627989856, -0.3329121891421352, -0.02435814237580394, -0.4053018077248126, -0.20723424960755218, -0.4319955288749331, -0.41233042914589985, -0.1564204973184556, -0.1721492374808977, -0.2975058520833356, -0.28177646363858944, -0.23867266632989037, -0.3788592105534844, -0.15902564158550492, -0.4348377087188425, -0.1608831623792661, 0.10616635060891605, -0.08031280685355137, -0.4705458904066469, -0.3343561496526342, -0.15222837047151747, 0.011859460525631383, -0.16246264553154474, -0.2898201389772118, -0.47676504545446485, -0.13644894495724333, 0.055377761438110684, 0.14942070336143926, -0.40421640632456046, -0.2782709819982828, -0.18789633477453754, 0.08466365639724235, -0.16001889725104865, -0.3709846839370649, -0.43622860869722424, -0.3115232283543653, 0.02289565286440316, -0.42826504005155486, -0.48979485977601933, -0.39504054532349037, -0.4415299301657374, -0.4827671746296589, -0.45138414289057116, -0.4999606880742218, -0.2962293609926381, -0.07699866202442862, -0.2178560910116306], 'char_orbit_index': 3, 'conrey_index': 43, 'dual_conrey_index': 7, 'dual_embedding_index': 2, 'dual_embedding_m': 2, 'embedding_index': 2, 'embedding_m': 5, 'embedding_root_imag': 10.104263937977066, 'embedding_root_real': 10.104263937977066, 'hecke_orbit': 5, 'hecke_orbit_code': 18014536132984882, 'label': '50.11.c.e.43.2', 'level': 50, 'weight': 11}
• 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

  
  {'Nk2': 6050, 'analytic_conductor': 31.767862633686203, 'char_conductor': 5, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 4, 'char_parity': -1, 'char_values': [50, 4, [27], [1]], 'conrey_index': 7, 'cusp_dim': 138, 'dim': 30, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137623502898, 'hecke_orbit_dims': [2, 2, 2, 2, 6, 8, 8], 'label': '50.11.c', 'level': 50, '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': 162, 'mf_new_dim': 30, 'num_forms': 7, 'prim_orbit_index': 3, 'relative_dim': 15, 'sturm_bound': 82, 'trace_bound': 3, 'trace_display': [32, 124, 0, -10604], 'traces': [30, 32, 124, 0, 0, 24320, -10604, -16384, 0, 0, -903040, 63488, 988434, 0, 0, -7864320, 52906, 7111648, 0, 0, -32791240, 13506304, 26934364, 0, 0, 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0, 0, 7450927825976460, -1561549361406336, 849261172610768, 0, 0, 4704964292759040, -2893616803645444, 446761461350400, 0, 0, -8541368875961640, -763515925102592, -1405648572559446, 0, 0, -3246950425190400, -1847696220058880, -3118300950565120, 0, 0, 627997603192290, 1871373616403904, 4043025895024724, 0, 0, 1831270677559040, 2358100107627116, -411859179651072, 0, 0, 4735318259902960, 3356077173004288, 4224820601235760, 0, 0, -1255922823331840, 276168792315606, -2758218493828864, 0, 0, -8689875984688300, -141505333248256, -948224277608236, 0, 0, 1085419781900800, 1014522988457232, -162601979965440, 0, 0, 961950531524360, -973668180033536, -710851792111472, 0, 0, -875592479109120, 399616514478626, 3439460216666240, 0, 0], 'weight': 11, '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: 44228683
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 43, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536132984882, 'target_is_minimal': False, 'target_label': '50.11.c.e.43.2', 'target_level': 50, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 11}
  • id: 44228684
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 7, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014536132984882, 'target_is_minimal': False, 'target_label': '50.11.c.e.7.2', 'target_level': 50, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 11}
  • id: 44228685
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 7, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336878243850, 'target_is_minimal': True, 'target_label': '10.11.c.c.7.2', 'target_level': 10, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 44228686
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 3, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336878243850, 'target_is_minimal': True, 'target_label': '10.11.c.c.3.2', 'target_level': 10, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 11}
  • id: 44228687
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 37, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007611756150874, 'target_is_minimal': False, 'target_label': '90.11.g.c.37.3', 'target_level': 90, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 11}
  • id: 44228688
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 73, 'target_dim': 6, 'target_embedding_index': 3, 'target_hecke_orbit_code': 9007611756150874, 'target_is_minimal': False, 'target_label': '90.11.g.c.73.3', 'target_level': 90, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 11}
  • id: 44228689
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 17, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008230231441488, 'target_is_minimal': False, 'target_label': '80.11.p.c.17.2', 'target_level': 80, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 11}
  • id: 44228690
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 43, 'source_dim': 6, 'source_embedding_index': 2, 'source_hecke_orbit_code': 18014536132984882, 'source_is_minimal': False, 'source_label': '50.11.c.e.43.2', 'source_level': 50, 'target_conrey_index': 33, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9008230231441488, 'target_is_minimal': False, 'target_label': '80.11.p.c.33.2', 'target_level': 80, 'twist_class_label': '10.11.c.c.3.2', 'twist_class_level': 10, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 11}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 170125
    {'charpoly_factorization': [[[512, -32, 1], 3]], 'hecke_orbit_code': 18014536132984882, 'p': 2}
  • id: 170126
    {'charpoly_factorization': [[[1112900707872, 258527462832, 30028037796, -20688696, 8192, 128, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 3}
  • id: 170127
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 18014536132984882, 'p': 5}
  • id: 170128
    {'charpoly_factorization': [[[1395890343660414229255712, -967807407319475146032, 335503136731458276, -9497368375544, 91287072, 13512, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 7}
  • id: 170129
    {'charpoly_factorization': [[[2666505072779552, 9059018052, -323916, 1], 2]], 'hecke_orbit_code': 18014536132984882, 'p': 11}
  • id: 170130
    {'charpoly_factorization': [[[7720973897629741929756764276014152, -20385926932644041898677185368, 26912797686745338345156, -2391666107193216, 275951690802, -742902, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 13}
  • id: 170131
    {'charpoly_factorization': [[[2896847622959042762767646245377431432, -5433761139804361512989169352632, 5096187989047266077846916, -702350500374552064, 285101596962, -755118, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 17}
  • id: 170132
    {'charpoly_factorization': [[[2056723660260006210847360000000000, 0, 75294310961554272000000, 0, 619530339600, 0, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 19}
  • id: 170133
    {'charpoly_factorization': [[[7109733820540638431039885244948460162592, 1364693886574721220928404130560432, 130974622332119758626480036, -291518088619178721976, 113296284076032, -15052992, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 23}
  • id: 170134
    {'charpoly_factorization': [[[1396665752624284439971199690308489216000000, 0, 783357884027284635512471040000, 0, 1890131069150400, 0, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 29}
  • id: 170135
    {'charpoly_factorization': [[[-10349511565794772049488, 1721402358911892, -76923576, 1], 2]], 'hecke_orbit_code': 18014536132984882, 'p': 31}
  • id: 170136
    {'charpoly_factorization': [[[2829512576241733403460259217277933867662734152, 270238009196569101743796081290830347768, 12904798909133020317138403686756, 192244675901723344874016, 530548959976002, -32574498, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 37}
  • id: 170137
    {'charpoly_factorization': [[[1969427592056349349290272, -17656457682251868, -113076636, 1], 2]], 'hecke_orbit_code': 18014536132984882, 'p': 41}
  • id: 170138
    {'charpoly_factorization': [[[315860903026969162616545479464449517690718526752, -12531550791652921131133859302152923668368, 248590065656793906058321152184356, 208408650620129539725384, 2024309040538752, -63628752, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 43}
  • id: 170139
    {'charpoly_factorization': [[[8911076612082499140165454300745626514323009361952, 198685054037663130935933353211209820862768, 2214982118121624009700226985928356, 5148803150521107619590216, 194053825700352, -19700448, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 47}
  • id: 170140
    {'charpoly_factorization': [[[8596693177954398783181953052938443397014342145992, -460010794967834607238463806753857463572168, 12307635453920678214258295944043236, -101246418608699306815767776, 451250989900542882, -950001042, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 53}
  • id: 170141
    {'charpoly_factorization': [[[2335042254732478561687629855191624121156649984000000, 0, 493419938447922297487605409693440000, 0, 1405683550765923600, 0, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 59}
  • id: 170142
    {'charpoly_factorization': [[[159337479955441782276666432, -145162927997988828, -801992196, 1], 2]], 'hecke_orbit_code': 18014536132984882, 'p': 61}
  • id: 170143
    {'charpoly_factorization': [[[2959683587266145451389324930077729871536151946614868512, 1946107207087863339927902902545599877561179568, 639820634505338611383803660585802276, 431137369274023583615070856, 3131622785189417472, 2502647712, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 67}
  • id: 170144
    {'charpoly_factorization': [[[587751485374237526092302832, 2731430976824954772, 3568766904, 1], 2]], 'hecke_orbit_code': 18014536132984882, 'p': 71}
  • id: 170145
    {'charpoly_factorization': [[[1614896490641202554796754754181385595349924049232911112, 976024349523794434530493863689104510309953432, 294948789716269124536487258280925476, 545627643508260974444723744, 2655273564076451922, 2304462438, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 73}
  • id: 170146
    {'charpoly_factorization': [[[289986691628090502655547883065742261080247238656000000, 0, 2090348062530013097709642376151040000, 0, 3556319314037606400, 0, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 79}
  • id: 170147
    {'charpoly_factorization': [[[136426949298149363364809482239358964625391462482980147232, 199529260116913141866583905543923732515775402832, 145909315745957370116784515315889631716, 17583449498157756202276992264, 3887911929959712, -88180632, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 83}
  • id: 170148
    {'charpoly_factorization': [[[2677712409875171881284867897640404726726156060196864000000, 0, 937590694761194981338758236641812480000, 0, 74722446831800851200, 0, 1], 1]], 'hecke_orbit_code': 18014536132984882, 'p': 89}
  • id: 170149
    {'charpoly_factorization': [[[1141305008845409768137530083251420004343340000441747147047432, -77969299144772454431170854215292292782586667993832, 2663272114820993614626635743691360110116, 3228364709295081604017665557536, 553815428601465385362, 33281088582, 1], 1]], 'hecke_orbit_code': 18014536132984882, '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': 3, 'hecke_orbit': 5, 'label': '50.11.c.e', 'level': 50, 'portrait': 'data:image/png;base64,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', 'weight': 11}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 40668775
    {'hecke_orbit_code': 18014536132984882, 'n': 1, 'trace_an': 6}
  • id: 40668776
    {'hecke_orbit_code': 18014536132984882, 'n': 2, 'trace_an': 96}
  • id: 40668777
    {'hecke_orbit_code': 18014536132984882, 'n': 3, 'trace_an': -128}
  • id: 40668778
    {'hecke_orbit_code': 18014536132984882, 'n': 4, 'trace_an': 0}
  • id: 40668779
    {'hecke_orbit_code': 18014536132984882, 'n': 5, 'trace_an': 0}
  • id: 40668780
    {'hecke_orbit_code': 18014536132984882, 'n': 6, 'trace_an': -4096}
  • id: 40668781
    {'hecke_orbit_code': 18014536132984882, 'n': 7, 'trace_an': -13512}
  • id: 40668782
    {'hecke_orbit_code': 18014536132984882, 'n': 8, 'trace_an': -49152}
  • id: 40668783
    {'hecke_orbit_code': 18014536132984882, 'n': 9, 'trace_an': 0}
  • id: 40668784
    {'hecke_orbit_code': 18014536132984882, 'n': 10, 'trace_an': 0}
  • id: 40668785
    {'hecke_orbit_code': 18014536132984882, 'n': 11, 'trace_an': 647832}
  • id: 40668786
    {'hecke_orbit_code': 18014536132984882, 'n': 12, 'trace_an': -65536}
  • id: 40668787
    {'hecke_orbit_code': 18014536132984882, 'n': 13, 'trace_an': 742902}
  • id: 40668788
    {'hecke_orbit_code': 18014536132984882, 'n': 14, 'trace_an': 0}
  • id: 40668789
    {'hecke_orbit_code': 18014536132984882, 'n': 15, 'trace_an': 0}
  • id: 40668790
    {'hecke_orbit_code': 18014536132984882, 'n': 16, 'trace_an': -1572864}
  • id: 40668791
    {'hecke_orbit_code': 18014536132984882, 'n': 17, 'trace_an': 755118}
  • id: 40668792
    {'hecke_orbit_code': 18014536132984882, 'n': 18, 'trace_an': 5683744}
  • id: 40668793
    {'hecke_orbit_code': 18014536132984882, 'n': 19, 'trace_an': 0}
  • id: 40668794
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  • id: 40668864
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  • id: 40668870
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